Triple
T3673081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingpin |
E77923
|
entity |
| Predicate | cinematographer |
P1953
|
FINISHED |
| Object | Mark Irwin |
E375228
|
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: Mark Irwin | Statement: [Kingpin, cinematographer, Mark Irwin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Irwin Context triple: [Kingpin, cinematographer, Mark Irwin]
-
A.
Mark Irwin
chosen
Mark Irwin is a Canadian cinematographer known for his work on numerous feature films, including collaborations with directors like David Cronenberg and on popular comedies such as "Old School."
-
B.
John Irwin
John Irwin is a television producer best known for his work as an executive producer on major late-night talk shows, including The Jay Leno Show.
-
C.
Ken Moffett
Ken Moffett was a prominent American labor mediator and union negotiator best known for his key role in resolving major sports labor disputes, including those in Major League Baseball.
-
D.
Ken Hutchison
Ken Hutchison was a Scottish actor known for his intense character roles in film and television during the 1970s and 1980s.
-
E.
Alan Osbiston
Alan Osbiston was a British film editor known for his work on notable mid-20th-century films, including major war and drama productions.
- 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_69ad85e083008190b2e1b7085fe500bd |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc42f82548190b4d5f0fe7250decb |
completed | March 8, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b48854a2308190ba6a9fc39929b35c |
completed | March 13, 2026, 9:57 p.m. |
Created at: March 8, 2026, 3:25 p.m.