Triple
T3009663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bank Job |
E81985
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Michael Coulter |
E68507
|
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: Michael Coulter | Statement: [The Bank Job, cinematographyBy, Michael Coulter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Coulter Context triple: [The Bank Job, cinematographyBy, Michael Coulter]
-
A.
Michael Coulter
chosen
Michael Coulter is a British cinematographer known for his work on popular films including the romantic comedy "Love Actually."
-
B.
Jimmy Yuill
Jimmy Yuill is a Scottish actor known for his work in film, television, and theatre, including roles in several Shakespearean adaptations.
-
C.
Macaulay Connor
Macaulay Connor is the fictional cynical reporter and love interest in Philip Barry’s play "The Philadelphia Story," later portrayed by James Stewart in the classic 1940 film adaptation.
-
D.
Daniel Millar
Daniel Millar is an actor known for his role in the National Theatre’s acclaimed stage production of "Frankenstein."
-
E.
Christopher Young
Christopher Young is an American film composer renowned for his atmospheric and often darkly dramatic scores across horror, thriller, and action movies.
- 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_69ad8b1c4de88190a83b7cefaa1f2842 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a4ccbf08190a7580c9e758804d0 |
completed | March 8, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e5f612c8190824deb0813a9f981 |
completed | March 11, 2026, 8:57 a.m. |
Created at: March 8, 2026, 3 p.m.