Triple
T9243891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Gingham Girl |
E222135
|
entity |
| Predicate | hasProductionCompanyType |
P39595
|
FINISHED |
| Object | major Hollywood studio |
—
|
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: major Hollywood studio | Statement: [The Gingham Girl, hasProductionCompanyType, major Hollywood studio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProductionCompanyType Context triple: [The Gingham Girl, hasProductionCompanyType, major Hollywood studio]
-
A.
hasProductionCompany
Indicates that an entity (such as a film, show, or media work) is associated with a specific company responsible for its production.
-
B.
productionCompanyType
chosen
Indicates the specific category or kind of production company associated with a given entity.
-
C.
coProductionCompany
Indicates a company that collaborates with one or more other companies in the joint production of a work or project.
-
D.
filmProductionCompanyOfAppearance
Indicates the company responsible for producing the film in which a particular appearance occurs.
-
E.
productionCompanyOfWork
Indicates that a company is responsible for producing a particular creative work (such as a film, TV show, or similar production).
- 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_69ca83ee26cc81909ac624e190597d6d |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cd03edd37481908ea2f6dac354f04f |
completed | April 1, 2026, 11:39 a.m. |
| PD | Predicate disambiguation | batch_69cc7a4765648190aa9445c4a22dc471 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:30 p.m.