Triple
T26897829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamilton (Broadway) |
E677940
|
entity |
| Predicate | distributorOfFilmRecording |
P153577
|
FINISHED |
| Object | Disney+ |
—
|
NE NERFINISHED |
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: Disney+ | Statement: [Hamilton (Broadway), distributorOfFilmRecording, Disney+]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distributorOfFilmRecording Context triple: [Hamilton (Broadway), distributorOfFilmRecording, Disney+]
-
A.
distributorOfDepictingWork
Indicates that an entity is the distributor of a work (such as a film, book, or image) in which another entity is depicted.
-
B.
distributorOfAdaptation
Indicates that one entity is responsible for distributing a particular adaptation of a work (such as a film, series, or other derivative version).
-
C.
distributorOfFilmVersion
Indicates that an entity is responsible for distributing a particular version or edition of a film.
-
D.
distributorOfFilmCapture
chosen
Indicates that an entity is responsible for distributing a particular film capture (such as a movie or recorded footage) to the market or audience.
-
E.
distributorOfWinningFilm
Indicates that an entity served as the distributor responsible for releasing or marketing a film that won a specified award or competition.
- 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_69eee9befee48190a26f214faa867be7 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a731508190bb0c8c2462eba224 |
completed | May 2, 2026, 7:33 p.m. |
Created at: April 27, 2026, 5:48 a.m.