Triple
T32351364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Get on the Bus |
E826604
|
entity |
| Predicate | hasFilmEditor |
P187175
|
FINISHED |
| Object | Barry Alexander Brown |
—
|
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: Barry Alexander Brown | Statement: [Get on the Bus, hasFilmEditor, Barry Alexander Brown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFilmEditor Context triple: [Get on the Bus, hasFilmEditor, Barry Alexander Brown]
-
A.
editedByFilm
Indicates that a film was edited by a particular person or entity responsible for its film editing.
-
B.
editedByInFilm
chosen
Indicates that a person served as the film editor for a specific film.
-
C.
editedFilmForDirector
Indicates that one person performed film editing work on a movie under the direction or supervision of a specific director.
-
D.
editedFilm
Indicates that one entity performed the film editing work on another entity, which is a film.
-
E.
editedFilmOf
Indicates that one entity is the film that has been edited by the other entity.
- F. None of above.
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_69f34914dfc48190a390cd0720d9e86f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fec8aef1d8819094c7fd7074038e6b |
completed | May 9, 2026, 5:39 a.m. |
| PD | Predicate disambiguation | batch_69fec639876481908efd84a3631a4271 |
completed | May 9, 2026, 5:29 a.m. |
Created at: May 1, 2026, 12:49 a.m.