Triple
T36146267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dragon Pictures |
E1045459
|
entity |
| Predicate | associatedWithFilmDistributor |
P204763
|
FINISHED |
| Object | Miramax Films |
E56080
|
NE 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: Miramax Films | Statement: [Dragon Pictures, associatedWithFilmDistributor, Miramax Films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithFilmDistributor Context triple: [Dragon Pictures, associatedWithFilmDistributor, Miramax Films]
-
A.
distributorOfWorkFeaturing
Indicates that one entity distributes or makes available a work in which another entity is featured or appears.
-
B.
associatedWithProducerOfFilm
Indicates that one entity has an association or connection with the producer of a particular film.
-
C.
distributorOfWorkAppearedIn
Indicates that one entity is the distributor responsible for releasing or making available a particular work in which another entity appeared.
-
D.
distributorOfDepictingWork
Indicates that an entity is the distributor of a work (such as a film, book, or image) in which another entity is depicted.
-
E.
distributorOfAdaptation
Indicates that one entity is responsible for distributing a particular adaptation of a work (such as a film, series, or other derivative version).
- F. None of above. chosen
Provenance (5 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_69f76e37ace88190a906b107d388f5d1 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a390d48ccd481909608af5cb921da25 |
completed | June 22, 2026, 10:24 a.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82f8c88190bd77a086023ac0e1 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:08 p.m.