Triple
T2895273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corpse Bride |
E63924
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Jeffrey Auerbach
Jeffrey Auerbach is a film producer best known for his work on the stop-motion animated feature "Corpse Bride."
|
E315879
|
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: Jeffrey Auerbach | Statement: [Corpse Bride, producer, Jeffrey Auerbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeffrey Auerbach Context triple: [Corpse Bride, producer, Jeffrey Auerbach]
-
A.
Bryan Goluboff
Bryan Goluboff is an American screenwriter and playwright best known for his work on the film adaptation of Jim Carroll’s memoir "The Basketball Diaries."
-
B.
Paul Feldman
Paul Feldman is a computer scientist and cryptographer known for his work on digital signatures and other foundational topics in modern cryptography.
-
C.
Philip Brownstein
Philip Brownstein was a professional basketball coach best known for leading the early NBA-era Chicago Stags franchise.
-
D.
Gregory Nussbaum
Gregory Nussbaum is a film editor known for his work on the 2008 comic-book adaptation "The Spirit."
-
E.
Philip Bruns
Philip Bruns was an American character actor best known for his television and film roles in the 1970s and 1980s, including his work on the satirical soap opera "Mary Hartman, Mary Hartman."
- 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: Jeffrey Auerbach Triple: [Corpse Bride, producer, Jeffrey Auerbach]
Generated description
Jeffrey Auerbach is a film producer best known for his work on the stop-motion animated feature "Corpse Bride."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeffrey Auerbach Target entity description: Jeffrey Auerbach is a film producer best known for his work on the stop-motion animated feature "Corpse Bride."
-
A.
Bryan Goluboff
Bryan Goluboff is an American screenwriter and playwright best known for his work on the film adaptation of Jim Carroll’s memoir "The Basketball Diaries."
-
B.
Paul Feldman
Paul Feldman is a computer scientist and cryptographer known for his work on digital signatures and other foundational topics in modern cryptography.
-
C.
Philip Brownstein
Philip Brownstein was a professional basketball coach best known for leading the early NBA-era Chicago Stags franchise.
-
D.
Gregory Nussbaum
Gregory Nussbaum is a film editor known for his work on the 2008 comic-book adaptation "The Spirit."
-
E.
Philip Bruns
Philip Bruns was an American character actor best known for his television and film roles in the 1970s and 1980s, including his work on the satirical soap opera "Mary Hartman, Mary Hartman."
- 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_69ab4c45822c8190830c5f2bb97bcfd0 |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe06509808190b673222b9ae3d599 |
completed | March 7, 2026, 8:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b108cc4870819081e68032517468a8 |
completed | March 11, 2026, 6:16 a.m. |
| NEDg | Description generation | batch_69b10b5c37ac81908ffc9ce949c86ec7 |
completed | March 11, 2026, 6:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b10bdb450081909be83175a043043b |
completed | March 11, 2026, 6:29 a.m. |
Created at: March 6, 2026, 10:08 p.m.