Triple
T25198666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OD |
E631068
|
entity |
| Predicate | hasTeaserTrailer |
P161447
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [OD, hasTeaserTrailer, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTeaserTrailer Context triple: [OD, hasTeaserTrailer, yes]
-
A.
hasTelevisionVersion
Indicates that one entity has a corresponding version or adaptation that is specifically produced for or presented on television.
-
B.
hasAftermovie
Indicates that an event or activity is associated with a produced aftermovie documenting or summarizing it.
-
C.
hasSequel
Indicates that one work is followed by another work that continues its story, timeline, or thematic development.
-
D.
hasShortFilmPrecursor
Indicates that a work is preceded by a short film that serves as an earlier or foundational version of it.
-
E.
hasSequelRumors
Indicates that there are rumors or unconfirmed reports suggesting a sequel exists or may be produced for the referenced work.
- F. None of above. chosen
Provenance (4 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_69e75a8b86c4819089eda22c843b739f |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f613bc641c819084343cc78d080640 |
completed | May 2, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69f611a72780819082f44e66ca2c6ac9 |
completed | May 2, 2026, 3 p.m. |
| PDg | Predicate description generation | batch_69f613502d808190b89927e5e734b43a |
completed | May 2, 2026, 3:08 p.m. |
Created at: April 21, 2026, 12:51 p.m.