Triple
T22899601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catch a Fire |
E568272
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Anthony Minghella |
—
|
NE NERFINISHED |
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: Anthony Minghella | Statement: [Catch a Fire, producer, Anthony Minghella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anthony Minghella Context triple: [Catch a Fire, producer, Anthony Minghella]
-
A.
Anthony Minghella
chosen
Anthony Minghella was an acclaimed British film director and screenwriter best known for his lush, character-driven dramas such as "The English Patient" and "The Talented Mr. Ripley."
-
B.
Max Minghella
Max Minghella is a British actor and filmmaker known for roles in films like "The Social Network" and the series "The Handmaid's Tale."
-
C.
Stephen Daldry
Stephen Daldry is an acclaimed British theatre and film director and producer known for works such as "Billy Elliot," "The Hours," and "The Reader."
-
D.
Thomas Eyre
Thomas Eyre is a relatively obscure historical figure whose specific identity and achievements are not clearly distinguished in common reference sources.
-
E.
Bryan Forbes
Bryan Forbes was a British film director, screenwriter, and actor known for works such as "The Stepford Wives" and "Whistle Down the Wind."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458c23ec81908fa2570692c6614f |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180155b1c8190a83eb6ec45387a1a |
completed | April 29, 2026, 3:50 a.m. |
Created at: April 17, 2026, 3:41 p.m.