Triple
T36371188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 24 Hour Psycho |
E895759
|
entity |
| Predicate | rightsHolderOfSourceFilm |
P151585
|
FINISHED |
| Object | Universal Pictures |
—
|
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: Universal Pictures | Statement: [24 Hour Psycho, rightsHolderOfSourceFilm, Universal Pictures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rightsHolderOfSourceFilm Context triple: [24 Hour Psycho, rightsHolderOfSourceFilm, Universal Pictures]
-
A.
rightsHolderOfOriginalWork
chosen
Indicates that an entity holds the legal rights to the original version of a work from which derivatives or copies may be made.
-
B.
commercialRightsHolderOf
Indicates that one entity holds the legal commercial rights to exploit, license, or profit from another entity.
-
C.
ownedByInFilm
Indicates that one entity is portrayed as being owned or possessed by another entity within the context of a specific film.
-
D.
rightsHolderRecognition
Indicates that an entity formally acknowledges or identifies another entity as the legitimate holder of specific rights.
-
E.
rightsHolderFromYear
Indicates the year from which an entity holds legal rights (such as ownership, copyright, or usage rights) over another 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_69f76e5115588190ad8738860b7bc68b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7bb3ff1b08190802b1063d55d3923 |
completed | May 3, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a611a081908dd6aec1df3f4d7f |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:10 p.m.