Triple
T32295056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Capener |
E825067
|
entity |
| Predicate | roleInAlanAndNaomi |
P201738
|
FINISHED |
| Object | cinematographer |
—
|
LITERAL 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: cinematographer | Statement: [Brian Capener, roleInAlanAndNaomi, cinematographer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInAlanAndNaomi Context triple: [Brian Capener, roleInAlanAndNaomi, cinematographer]
-
A.
roleInAmy
Indicates that an entity has a specific role or function within the context of Amy (e.g., in Amy’s life, work, or activities).
-
B.
roleInName
Indicates that a specific role, title, or position is included as part of an entity’s name or naming expression.
-
C.
roleInNappilyEverAfter
Indicates that an entity has a role or participation in the work "Nappily Ever After."
-
D.
roleInMotherLoveBone
Indicates that an entity holds a specific role or position within the band Mother Love Bone.
-
E.
roleInTheWay
Indicates that one entity is obstructing, hindering, or otherwise blocking another entity’s progress, action, or intended path.
- F. None of above. chosen
Provenance (4 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_69f349101b788190b4f14884dc7d1ed2 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a0019b0e9fc81909494320f05e81742 |
completed | May 10, 2026, 5:37 a.m. |
| PD | Predicate disambiguation | batch_6a00193379e0819096d1985686ce10e3 |
completed | May 10, 2026, 5:35 a.m. |
| PDg | Predicate description generation | batch_6a0019b009a481908d09ef90b693a466 |
completed | May 10, 2026, 5:37 a.m. |
Created at: May 1, 2026, 12:44 a.m.