Triple
T23062545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Grifters |
E574942
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Mick Audsley |
—
|
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: Mick Audsley | Statement: [The Grifters, editor, Mick Audsley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mick Audsley Context triple: [The Grifters, editor, Mick Audsley]
-
A.
Mick Audsley
chosen
Mick Audsley is a British film editor known for his work on numerous major feature films, including collaborations with directors like Terry Gilliam and Stephen Frears.
-
B.
Nigel Betts
Nigel Betts is a British actor known for his work in film, television, and theatre, including roles in period dramas and popular UK TV series.
-
C.
Ken Parry
Ken Parry was a British character actor known for his numerous supporting roles in film and television from the 1960s through the 1980s.
-
D.
Brian Davies
Brian Davies is a prominent mathematician and mathematical physicist known for his influential work in spectral theory, partial differential equations, and the analysis of Schrödinger operators.
-
E.
Brian Davies
Brian Davies is an actor best known for his role in the 1980 neo-noir crime drama film "American Gigolo."
- 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_69e245bd6e4c8190bb8942245b68cad5 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f189a0c3c881909f137ad511c216ac |
completed | April 29, 2026, 4:31 a.m. |
Created at: April 17, 2026, 3:55 p.m.