Triple
T35452695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miri Linky |
E1024679
|
entity |
| Predicate | coProducesFilmWith |
P183306
|
FINISHED |
| Object | Zack 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: Zack Brown | Statement: [Miri Linky, coProducesFilmWith, Zack Brown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coProducesFilmWith Context triple: [Miri Linky, coProducesFilmWith, Zack Brown]
-
A.
producedFilmStarring
Indicates that a person or company produced a film in which a specified actor or set of actors starred.
-
B.
coDirectedWith
Indicates that two or more entities jointly directed the same work or project.
-
C.
producedFilm
Indicates that one entity served as the producer (or production company) responsible for making or financing the creation of a particular film.
-
D.
workedOnFilmReleasedBy
Indicates that one entity contributed work to a film that was distributed or released by another entity.
-
E.
filmDirectorWorkedWith
Indicates that a film director has collaborated professionally with another person on one or more film projects.
- 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_69f76df92f108190817222e520e22268 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79da9f80c8190b0afd8509f28747b |
completed | May 3, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69f79617d40481909ba372f94209c08b |
completed | May 3, 2026, 6:38 p.m. |
| PDg | Predicate description generation | batch_69f79da8d8848190ab5ab1bdad95d58c |
completed | May 3, 2026, 7:10 p.m. |
Created at: May 3, 2026, 4:04 p.m.