Triple
T7293845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Gould |
E164464
|
entity |
| Predicate | portrayedIn |
P626
|
FINISHED |
| Object | Cinderella Man |
E26359
|
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: Cinderella Man | Statement: [Joe Gould, portrayedIn, Cinderella Man]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cinderella Man Context triple: [Joe Gould, portrayedIn, Cinderella Man]
-
A.
Cinderella Man
chosen
Cinderella Man is a 2005 biographical sports drama film about Depression-era boxer James J. Braddock, starring Russell Crowe and directed by Ron Howard.
-
B.
National Velvet
National Velvet is a classic 1944 family sports drama film about a young girl and her horse competing in the Grand National steeplechase.
-
C.
Seabiscuit
Seabiscuit is a 2003 sports drama film about an undersized Depression-era racehorse and his unlikely team, adapted from Laura Hillenbrand’s nonfiction book.
-
D.
Greatest Story Ever Told
"Greatest Story Ever Told" is a Grateful Dead song known for its energetic live performances and frequent pairing in concert medleys.
-
E.
Scent of a Woman
Scent of a Woman is a 1992 drama film in which Al Pacino delivers an Oscar-winning performance as a blind, irascible former Army officer.
- 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_69c6887a499881909dd23341399c59d8 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6eb8a0b4881908ff27c5a75bd4a95 |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e543c22c8190acf8dcffd9c59520 |
completed | March 28, 2026, 2:27 p.m. |
Created at: March 27, 2026, 3 p.m.