Triple
T22410300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Men in Black 3 |
E553977
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Bill Pope |
—
|
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: Bill Pope | Statement: [Men in Black 3, cinematographyBy, Bill Pope]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Pope Context triple: [Men in Black 3, cinematographyBy, Bill Pope]
-
A.
Bill Pope
chosen
Bill Pope is an acclaimed American cinematographer best known for his dynamic, visually inventive work on major films such as The Matrix trilogy and the Spider-Man series.
-
B.
Ryan Pope
Ryan Pope is an American drummer best known for his work with the emo and indie rock band The Get Up Kids.
-
C.
Dave Pope
Dave Pope is the husband of American actress and model Joy Bryant.
-
D.
Phil Housley
Phil Housley is an American former professional ice hockey defenseman renowned as one of the highest-scoring blueliners in NHL history and later a coach at the league level.
-
E.
Peter Bower
Peter Bower is the troubled psychologist protagonist of the Australian supernatural thriller film "Backtrack," who becomes entangled in a mystery involving his patients and his own haunted past.
- 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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158bb9ef88190a773d82ac9ed7a55 |
completed | April 29, 2026, 1:02 a.m. |
Created at: April 16, 2026, 8:46 p.m.