Triple
T22395880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 65 (2023 film) |
E553627
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Chris Bacon |
—
|
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: Chris Bacon | Statement: [65 (2023 film), musicBy, Chris Bacon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Bacon Context triple: [65 (2023 film), musicBy, Chris Bacon]
-
A.
Chris Bacon
chosen
Chris Bacon is an American film and television composer known for scoring projects such as the psychological horror series "Bates Motel."
-
B.
Michael Bannister
Michael Bannister is a musician best known as a member of the Scottish indie rock supergroup Reindeer Section.
-
C.
Nick Barton
Nick Barton is a British film producer best known for his work on the hit comedy-drama film "Calendar Girls."
-
D.
Nick Barton
Nick Barton is a prominent evolutionary biologist known for his influential work on the genetics of adaptation and speciation.
-
E.
Colin Goad
Colin Goad is a British maritime administrator who served as Secretary-General of the International Maritime Organization, overseeing global shipping safety and environmental standards.
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1585e84b081908c95ed3e0d987ed8 |
completed | April 29, 2026, 1:01 a.m. |
Created at: April 16, 2026, 8:45 p.m.