Triple
T31430527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alita: Battle Angel (film score) |
E801782
|
entity |
| Predicate | filmBasedOnCreator |
P41844
|
FINISHED |
| Object | Yukito Kishiro |
—
|
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: Yukito Kishiro | Statement: [Alita: Battle Angel (film score), filmBasedOnCreator, Yukito Kishiro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmBasedOnCreator Context triple: [Alita: Battle Angel (film score), filmBasedOnCreator, Yukito Kishiro]
-
A.
filmBasedOn
chosen
Indicates that a film is adapted from or derived from the story, characters, or events of another work.
-
B.
basedOnFilmDirector
Indicates that something is derived from, adapted from, or otherwise conceptually grounded in the work or role of a particular film director.
-
C.
madeFamousByFilm
Indicates that something became widely known or gained significant public recognition as a result of being featured in a film.
-
D.
producedFilm
Indicates that one entity served as the producer (or production company) responsible for making or financing the creation of a particular film.
-
E.
filmAdaptationStarred
Indicates that a particular person played a starring role in a specific film adaptation of a work.
- 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_69f348c475348190bf579ca858eec77c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a5f71b2c8190aade8a83f465be0c |
completed | May 3, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69f69fe66df08190958558d63ee623d9 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 30, 2026, 8:57 p.m.