Triple
T9558396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pym Films |
E230603
|
entity |
| Predicate | typicalExhibitionContext |
P76035
|
FINISHED |
| Object | film festivals |
—
|
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: film festivals | Statement: [Pym Films, typicalExhibitionContext, film festivals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalExhibitionContext Context triple: [Pym Films, typicalExhibitionContext, film festivals]
-
A.
exhibitionUse
Indicates that something is used, intended, or designated for display in an exhibition or exhibit context.
-
B.
exhibitContext
chosen
Indicates that one entity presents or provides the situational background, setting, or circumstances within which another entity is understood or interpreted.
-
C.
exhibitionType
Indicates the specific category or kind of exhibition associated with an entity (e.g., art show, trade fair, scientific exhibit).
-
D.
exhibition
Indicates that an entity is organizing, hosting, or serving as a public display or presentation of another entity (such as artworks, objects, or information).
-
E.
exhibitionMedium
Indicates the material or format through which something is exhibited or displayed.
- 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_69ca847e53a88190a60eed7e02257f10 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99487b4c819086e02e29e37b593f |
completed | April 1, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69ccd594d0ac8190a81bc11a3a538167 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:03 p.m.