Triple
T30988841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crown International Pictures |
E789609
|
entity |
| Predicate | filmMarket |
P170884
|
FINISHED |
| Object | United States theatrical market |
—
|
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: United States theatrical market | Statement: [Crown International Pictures, filmMarket, United States theatrical market]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmMarket Context triple: [Crown International Pictures, filmMarket, United States theatrical market]
-
A.
filmSeeks
Indicates that a film actively pursues, searches for, or attempts to obtain a particular entity, goal, or outcome.
-
B.
filmBase
Indicates the primary location or headquarters from which a film-related entity (such as a production, company, or operation) is based or operates.
-
C.
filmFestivalAwardedAt
Indicates that a particular film festival award was given or presented at a specific film festival event or edition.
-
D.
frequentFilmFestival
Indicates that an entity regularly attends or participates in a particular film festival.
-
E.
filmFestivalCategory
Indicates the specific category or section of a film festival in which a film is entered, screened, or competes.
- 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_69f224c550b081909ddfceb0c3d03bdd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f695f9fe7c819084322bf6cdc70a13 |
completed | May 3, 2026, 12:25 a.m. |
| PD | Predicate disambiguation | batch_69f690ef92308190903a54fc74233269 |
completed | May 3, 2026, 12:03 a.m. |
| PDg | Predicate description generation | batch_69f695385a2881908cc28ef97fffc867 |
completed | May 3, 2026, 12:22 a.m. |
Created at: April 29, 2026, 8:56 p.m.