Triple
T25221477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Dozier |
E631974
|
entity |
| Predicate | createdProductionCompany |
P163676
|
FINISHED |
| Object | Greenway Productions |
—
|
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: Greenway Productions | Statement: [William Dozier, createdProductionCompany, Greenway Productions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: createdProductionCompany Context triple: [William Dozier, createdProductionCompany, Greenway Productions]
-
A.
ownedProductionCompany
Indicates that one entity previously possessed ownership or controlling interest in a production company.
-
B.
hasProductionCompany
Indicates that an entity (such as a film, show, or media work) is associated with a specific company responsible for its production.
-
C.
laterProductionCompany
Indicates that one production company succeeded or replaced another as the later producer of a work or series.
-
D.
coProductionCompany
Indicates a company that collaborates with one or more other companies in the joint production of a work or project.
-
E.
firstProductionCompany
Indicates that the related entity is the primary or earliest production company associated with a work or project.
- 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_69e75a8e0f688190a7aebe9a4815e25b |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f6397b64f881909d811225e57aac5e |
completed | May 2, 2026, 5:50 p.m. |
| PD | Predicate disambiguation | batch_69f63706b6008190993577193c85ff50 |
completed | May 2, 2026, 5:40 p.m. |
| PDg | Predicate description generation | batch_69f638d029148190877c103f0eeaf147 |
completed | May 2, 2026, 5:48 p.m. |
Created at: April 21, 2026, 1:03 p.m.