Triple
T17344494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odd Grüner-Hegge |
E421646
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object |
Grüner-Hegge
Grüner-Hegge is the surname of Norwegian conductor and composer Odd Grüner-Hegge, known for his contributions to 20th-century classical music in Norway.
|
E1262343
|
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: Grüner-Hegge | Statement: [Odd Grüner-Hegge, hasFamilyName, Grüner-Hegge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grüner-Hegge Context triple: [Odd Grüner-Hegge, hasFamilyName, Grüner-Hegge]
-
A.
Hesselberg
Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
-
B.
Wiedensahl
Wiedensahl is a small village in Lower Saxony, Germany, best known as the birthplace of the humorist and illustrator Wilhelm Busch.
-
C.
Hagenborgh
Hagenborgh is a notable landmark building in the Dutch city of Almelo, recognized for its prominent role in the local urban landscape.
-
D.
Hunnebrock
Hunnebrock is a district (Stadtteil) of the town of Bünde in the German state of North Rhine-Westphalia.
-
E.
Schöngarth
Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
- 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: Grüner-Hegge Triple: [Odd Grüner-Hegge, hasFamilyName, Grüner-Hegge]
Generated description
Grüner-Hegge is the surname of Norwegian conductor and composer Odd Grüner-Hegge, known for his contributions to 20th-century classical music in Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grüner-Hegge Target entity description: Grüner-Hegge is the surname of Norwegian conductor and composer Odd Grüner-Hegge, known for his contributions to 20th-century classical music in Norway.
-
A.
Hesselberg
Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
-
B.
Wiedensahl
Wiedensahl is a small village in Lower Saxony, Germany, best known as the birthplace of the humorist and illustrator Wilhelm Busch.
-
C.
Hagenborgh
Hagenborgh is a notable landmark building in the Dutch city of Almelo, recognized for its prominent role in the local urban landscape.
-
D.
Hunnebrock
Hunnebrock is a district (Stadtteil) of the town of Bünde in the German state of North Rhine-Westphalia.
-
E.
Schöngarth
Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a27a350819086faf12e6bf9f0e2 |
completed | April 19, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c5be49c8190b27a4fe1df8e8ab6 |
completed | May 11, 2026, 7:59 a.m. |
| NEDg | Description generation | batch_6a018ce8c6b481909c6c1a82364cbd90 |
completed | May 11, 2026, 8:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a018d7ad50881908f80152db524f0af |
completed | May 11, 2026, 8:04 a.m. |
Created at: April 10, 2026, 5:44 a.m.