Triple
T5447377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation Finale |
E122281
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Alex Heineman
Alex Heineman is a film producer known for his work on the historical thriller "Operation Finale" and other feature films.
|
E520386
|
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: Alex Heineman | Statement: [Operation Finale, producer, Alex Heineman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alex Heineman Context triple: [Operation Finale, producer, Alex Heineman]
-
A.
Matthew C. Brown
Matthew C. Brown is a film producer known for his work on the horror movie "Spectral."
-
B.
Jeff Pagliocca
Jeff Pagliocca is a basketball executive best known for serving as the general manager of the WNBA’s Chicago Sky.
-
C.
Eric Evans
Eric Evans is a software engineer and thought leader best known for originating and popularizing the concept of Domain-Driven Design in enterprise software development.
-
D.
David Heitner
David Heitner is a film editor known for his work on the South African musical drama film "Sarafina!".
-
E.
Matt Kaufmann
Matt Kaufmann is a computer scientist best known for his work on automated theorem proving and the ACL2 theorem prover, often in collaboration with J Strother Moore.
- 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: Alex Heineman Triple: [Operation Finale, producer, Alex Heineman]
Generated description
Alex Heineman is a film producer known for his work on the historical thriller "Operation Finale" and other feature films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alex Heineman Target entity description: Alex Heineman is a film producer known for his work on the historical thriller "Operation Finale" and other feature films.
-
A.
Matthew C. Brown
Matthew C. Brown is a film producer known for his work on the horror movie "Spectral."
-
B.
Jeff Pagliocca
Jeff Pagliocca is a basketball executive best known for serving as the general manager of the WNBA’s Chicago Sky.
-
C.
Eric Evans
Eric Evans is a software engineer and thought leader best known for originating and popularizing the concept of Domain-Driven Design in enterprise software development.
-
D.
David Heitner
David Heitner is a film editor known for his work on the South African musical drama film "Sarafina!".
-
E.
Matt Kaufmann
Matt Kaufmann is a computer scientist best known for his work on automated theorem proving and the ACL2 theorem prover, often in collaboration with J Strother Moore.
- 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_69bd4640f52c81909e653ec361f66d76 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd91d0df348190b3de010c87cb6d5d |
completed | March 20, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf4137ecf881908f3f036457b59281 |
completed | March 22, 2026, 1:09 a.m. |
| NEDg | Description generation | batch_69bf4207393c819089b4fc6691a2d076 |
completed | March 22, 2026, 1:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf427e2bd08190b7664922d26e16d2 |
completed | March 22, 2026, 1:14 a.m. |
Created at: March 20, 2026, 2:07 p.m.