Triple
T29877493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Star Wars Story |
E758780
|
entity |
| Predicate | introducedWithFilm |
P83337
|
FINISHED |
| Object | Rogue One: A Star Wars Story |
—
|
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: Rogue One: A Star Wars Story | Statement: [A Star Wars Story, introducedWithFilm, Rogue One: A Star Wars Story]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedWithFilm Context triple: [A Star Wars Story, introducedWithFilm, Rogue One: A Star Wars Story]
-
A.
introducedInTheater
Indicates that something (such as a film, play, or performance) was first presented or made available to the public in a theater setting.
-
B.
firstUsedInFeatureFilm
Indicates that something (such as a technique, character, or element) made its earliest appearance or application in a particular feature film.
-
C.
releasedWithFilm
Indicates that one work (such as a soundtrack, game, or related media) was issued or made available at the same time as a particular film.
-
D.
mentionedInFilm
Indicates that an entity is referenced or talked about within the content of a film.
-
E.
firstAppearanceFilm
chosen
Indicates the film in which an entity (such as a character or person) makes its first on-screen appearance.
- 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_69f2245d0d7081909e37ee328542bcd7 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
Created at: April 29, 2026, 5:56 p.m.