Triple
T147321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old High German |
E3358
|
entity |
| Predicate | notableText |
P7250
|
FINISHED |
| Object |
Hildebrandslied
Hildebrandslied is an early medieval Old High German heroic poem that recounts a tragic duel between a father and son and is one of the oldest surviving works in the German language.
|
E17592
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Hildebrandslied | Statement: [Old High German, notableText, Hildebrandslied]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hildebrandslied Context triple: [Old High German, notableText, Hildebrandslied]
-
A.
Norse sagas
Norse sagas are medieval Icelandic prose narratives that recount the legendary heroes, gods, and historical events of the Norse and wider Scandinavian world.
-
B.
Sir Gawain and the Green Knight
Sir Gawain and the Green Knight is a late 14th-century Middle English chivalric romance poem that tells the story of King Arthur’s knight Sir Gawain and his beheading game encounter with the mysterious Green Knight.
-
C.
Heer
The Heer was the land-based component of Nazi Germany’s armed forces, serving as its primary army during World War II.
-
D.
Chant de guerre pour l’Armée du Rhin
Chant de guerre pour l’Armée du Rhin is the original revolutionary war song composed in 1792 by Claude Joseph Rouget de Lisle that later became known as “La Marseillaise,” the French national anthem.
-
E.
Vikingskipet
Vikingskipet is an indoor speed skating arena in Hamar, Norway, renowned for hosting major international competitions including events at the 1994 Winter Olympics.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hildebrandslied Triple: [Old High German, notableText, Hildebrandslied]
Generated description
Hildebrandslied is an early medieval Old High German heroic poem that recounts a tragic duel between a father and son and is one of the oldest surviving works in the German language.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hildebrandslied Target entity description: Hildebrandslied is an early medieval Old High German heroic poem that recounts a tragic duel between a father and son and is one of the oldest surviving works in the German language.
-
A.
Norse sagas
Norse sagas are medieval Icelandic prose narratives that recount the legendary heroes, gods, and historical events of the Norse and wider Scandinavian world.
-
B.
Sir Gawain and the Green Knight
Sir Gawain and the Green Knight is a late 14th-century Middle English chivalric romance poem that tells the story of King Arthur’s knight Sir Gawain and his beheading game encounter with the mysterious Green Knight.
-
C.
Heer
The Heer was the land-based component of Nazi Germany’s armed forces, serving as its primary army during World War II.
-
D.
Chant de guerre pour l’Armée du Rhin
Chant de guerre pour l’Armée du Rhin is the original revolutionary war song composed in 1792 by Claude Joseph Rouget de Lisle that later became known as “La Marseillaise,” the French national anthem.
-
E.
Vikingskipet
Vikingskipet is an indoor speed skating arena in Hamar, Norway, renowned for hosting major international competitions including events at the 1994 Winter Olympics.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableText Context triple: [Old High German, notableText, Hildebrandslied]
-
A.
notableFor
Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
-
B.
notablePrimary
Indicates that one entity is the main or most prominent example, instance, or representative of another entity.
-
C.
notableSingle
Indicates that the subject is particularly recognized or distinguished for one specific, individual instance (such as a single work, event, or achievement).
-
D.
notableEditor
Indicates that an entity has served as a significant or distinguished editor of another entity, such as a publication or work.
-
E.
notableStandard
Indicates that one entity is a widely recognized or influential standard that the other entity is associated with or exemplifies.
- F. None of above. chosen
Provenance (7 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a252868de4819080e21c9938bfe8b6 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a258808ff08190a06b6206f635612b |
completed | Feb. 28, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2c27754a881908ef5a96e05e515e3 |
completed | Feb. 28, 2026, 10:24 a.m. |
| NEDg | Description generation | batch_69a2c37177348190857d52872e6ab393 |
completed | Feb. 28, 2026, 10:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2c3c512f08190bb87f874524b1616 |
completed | Feb. 28, 2026, 10:30 a.m. |
| PD | Predicate disambiguation | batch_69a256580c2c8190beecca60ca8595f3 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a2587e598c81909e1082b813971f48 |
completed | Feb. 28, 2026, 2:52 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.