Triple
T22097710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfa Corse |
E546080
|
entity |
| Predicate | notableDriver |
P2087
|
FINISHED |
| Object |
Christian Danner
Christian Danner is a German racing driver best known for his career in Formula One during the 1980s and his later work as a motorsport commentator.
|
E1555550
|
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: Christian Danner | Statement: [Alfa Corse, notableDriver, Christian Danner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christian Danner Context triple: [Alfa Corse, notableDriver, Christian Danner]
-
A.
Eric Danchick
Eric Danchick is a film producer known for his work on the movie "Bound 2."
-
B.
Frank Doelger
Frank Doelger is a television producer best known for his work on the acclaimed HBO fantasy series "Game of Thrones."
-
C.
John Diehl
John Diehl is an American character actor best known for his role as Detective Larry Zito on the 1980s television series "Miami Vice."
-
D.
Michael Andlauer
Michael Andlauer is a Canadian businessman and sports executive best known as the owner of the NHL’s Ottawa Senators and a longtime figure in professional hockey ownership.
-
E.
Darin Cunningham
Darin Cunningham is an electronic music producer and DJ best known for his experimental work under the moniker Actress.
- 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: Christian Danner Triple: [Alfa Corse, notableDriver, Christian Danner]
Generated description
Christian Danner is a German racing driver best known for his career in Formula One during the 1980s and his later work as a motorsport commentator.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Christian Danner Target entity description: Christian Danner is a German racing driver best known for his career in Formula One during the 1980s and his later work as a motorsport commentator.
-
A.
Eric Danchick
Eric Danchick is a film producer known for his work on the movie "Bound 2."
-
B.
Frank Doelger
Frank Doelger is a television producer best known for his work on the acclaimed HBO fantasy series "Game of Thrones."
-
C.
John Diehl
John Diehl is an American character actor best known for his role as Detective Larry Zito on the 1980s television series "Miami Vice."
-
D.
Michael Andlauer
Michael Andlauer is a Canadian businessman and sports executive best known as the owner of the NHL’s Ottawa Senators and a longtime figure in professional hockey ownership.
-
E.
Darin Cunningham
Darin Cunningham is an electronic music producer and DJ best known for his experimental work under the moniker Actress.
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128ea00d48190b020aba80dcdbec9 |
completed | April 28, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b9e7867d08190a2d6d1a61a1a745d |
completed | May 18, 2026, 11:19 p.m. |
| NEDg | Description generation | batch_6a0ba0f5030c81909efd76deb3e6017d |
completed | May 18, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ba1b94c8081909cbd256997af1dca |
completed | May 18, 2026, 11:33 p.m. |
Created at: April 16, 2026, 8:30 p.m.