Triple
T23095010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coco |
E575859
|
entity |
| Predicate | hasTheatricalRunType |
P39739
|
FINISHED |
| Object | limited run |
—
|
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: limited run | Statement: [Coco, hasTheatricalRunType, limited run]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTheatricalRunType Context triple: [Coco, hasTheatricalRunType, limited run]
-
A.
hasTheatricalFilm
Indicates that an entity has an associated theatrical film adaptation, version, or release.
-
B.
hasTheatricalForm
Indicates that something is associated with or presented in a particular theatrical form or style.
-
C.
theatricalRun
chosen
Indicates that a film, play, or performance is being publicly shown in theaters over a defined period of time.
-
D.
servedInTheatres
Indicates that a film or performance was publicly exhibited in movie theaters or similar cinema venues.
-
E.
hasNumberOfTheatres
Indicates the quantity of theatres associated with or present in a given entity.
- 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_69e245c060b48190a9bd61a47a16db17 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18de3b2b481909ef598b447ed4dd2 |
completed | April 29, 2026, 4:49 a.m. |
| PD | Predicate disambiguation | batch_69ef89e5ce748190b2c3ac3843484127 |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 3:57 p.m.