Triple
T28707366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Thacker |
E729729
|
entity |
| Predicate | filmProducerContext |
P85820
|
FINISHED |
| Object | Duncan Kenworthy |
—
|
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: Duncan Kenworthy | Statement: [William Thacker, filmProducerContext, Duncan Kenworthy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmProducerContext Context triple: [William Thacker, filmProducerContext, Duncan Kenworthy]
-
A.
filmProducerOfSequence
Indicates that a person or entity served as the producer for a specific sequence within a film.
-
B.
workedAsProducerFor
chosen
Indicates that one entity served in the role of producer for a work, project, or production associated with another entity.
-
C.
associatedWithProducerOfFilm
Indicates that one entity has an association or connection with the producer of a particular film.
-
D.
producedFilm
Indicates that one entity served as the producer (or production company) responsible for making or financing the creation of a particular film.
-
E.
executiveProducerOf
Indicates that one entity serves as the executive producer responsible for overseeing the creation or production of another entity, such as a film, series, or other media work.
- 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_69f043e7d5a4819094b18aca10b1e024 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f656d4e7b081909ba541afc649a059 |
completed | May 2, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69f651ac855481908e30c3b345d31356 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 5:46 a.m.