Triple
T13847514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sverre of Norway |
E332845
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Gunnhild
Gunnhild was the mother of King Sverre of Norway, a key figure in the country’s medieval royal lineage.
|
E1065704
|
NE FINISHED |
How this triple was built (4 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: Gunnhild | Statement: [Sverre of Norway, mother, Gunnhild]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gunnhild Context triple: [Sverre of Norway, mother, Gunnhild]
-
A.
Thjodhild
Thjodhild was a Norse woman of the Viking Age, best known as one of the earliest Christian converts in Greenland and for building the first church there.
-
B.
Gudrun
Gudrun was the daughter of Heinrich Himmler, a leading Nazi official, and later became known for her unrepentant support of former SS members after World War II.
-
C.
Gudrun
Gudrun is a tragic heroine from Norse legend, best known as the wife of the dragon-slayer Sigurd and a central figure in the Volsunga saga and related epic tales.
-
D.
Gunhild Godwinsdóttir
Gunhild Godwinsdóttir was a daughter of the powerful Anglo-Danish noblewoman Gytha Thorkelsdóttir and a member of the prominent Godwin family in 11th-century England.
-
E.
Ingrith
Ingrith is a feminine given name, likely a variant of the Scandinavian name Ingrid.
- 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: Gunnhild Triple: [Sverre of Norway, mother, Gunnhild]
Generated description
Gunnhild was the mother of King Sverre of Norway, a key figure in the country’s medieval royal lineage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gunnhild Target entity description: Gunnhild was the mother of King Sverre of Norway, a key figure in the country’s medieval royal lineage.
-
A.
Thjodhild
Thjodhild was a Norse woman of the Viking Age, best known as one of the earliest Christian converts in Greenland and for building the first church there.
-
B.
Gudrun
Gudrun was the daughter of Heinrich Himmler, a leading Nazi official, and later became known for her unrepentant support of former SS members after World War II.
-
C.
Gudrun
Gudrun is a tragic heroine from Norse legend, best known as the wife of the dragon-slayer Sigurd and a central figure in the Volsunga saga and related epic tales.
-
D.
Gunhild Godwinsdóttir
Gunhild Godwinsdóttir was a daughter of the powerful Anglo-Danish noblewoman Gytha Thorkelsdóttir and a member of the prominent Godwin family in 11th-century England.
-
E.
Ingrith
Ingrith is a feminine given name, likely a variant of the Scandinavian name Ingrid.
- F. None of above. chosen
Provenance (5 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02b2a9788190b164760adec64ef6 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0f189008190bb9afeef42564a33 |
completed | May 3, 2026, 9:41 p.m. |
| NEDg | Description generation | batch_69f7c23410dc8190972245cecfa85871 |
completed | May 3, 2026, 9:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c3031a0c8190ad30d59fe1f2322e |
completed | May 3, 2026, 9:49 p.m. |
Created at: April 9, 2026, 10:14 p.m.