Triple
T21705469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arab film market |
E535760
|
entity |
| Predicate | primaryGenreOutput |
P51264
|
FINISHED |
| Object | commercial cinema |
—
|
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: commercial cinema | Statement: [Arab film market, primaryGenreOutput, commercial cinema]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryGenreOutput Context triple: [Arab film market, primaryGenreOutput, commercial cinema]
-
A.
primarySourceGenre
Indicates the genre or type of creative work that serves as the primary source for something (e.g., an adaptation, derivative work, or related resource).
-
B.
genreOfAssociatedPerson
Indicates that a particular genre is associated with a given person, such as an artist, author, or performer.
-
C.
targetGenre
Indicates the genre that something is specifically aimed at, categorized under, or intended to belong to.
-
D.
hasMainGenre
chosen
Indicates that an entity’s primary or most characteristic genre is the specified genre.
-
E.
usedGenre
Indicates that one entity employs or is associated with a particular genre in its creation, presentation, or classification.
- 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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb52f64c48190b5d59561999e922f |
completed | April 27, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69e6969113cc8190ab69855ef5667e4b |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:46 p.m.