Triple
T8278751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goodfellas |
E193611
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Irwin Winkler |
E62273
|
NE FINISHED |
How this triple was built (2 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: Irwin Winkler | Statement: [Goodfellas, producer, Irwin Winkler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Irwin Winkler Context triple: [Goodfellas, producer, Irwin Winkler]
-
A.
Irwin Winkler
chosen
Irwin Winkler is an American film producer and director best known for producing the "Rocky" series and numerous other acclaimed Hollywood films.
-
B.
David Katzenberg
David Katzenberg is an American television and film producer and director known for co-creating the MTV series "The Hard Times of RJ Berger" and producing various comedy and horror projects.
-
C.
Ilya Salkind
Ilya Salkind is a film producer best known for co-producing the 1970s Superman films and other major international productions.
-
D.
David Puttnam
David Puttnam is a British film producer and politician best known for producing acclaimed films such as "Chariots of Fire" and "The Killing Fields."
-
E.
Walter Mirisch
Walter Mirisch was an Academy Award–winning American film producer and head of The Mirisch Corporation, known for overseeing numerous acclaimed films of the mid-20th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82e217a48190880695635c44b2ed |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb79ebb6b88190bc777b8bd72fcdbc |
completed | March 31, 2026, 7:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd6863c22c8190b888a23bb9005712 |
completed | April 1, 2026, 6:48 p.m. |
Created at: March 30, 2026, 5:51 p.m.