Triple
T26470950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kill Bill: Volume 1 |
E665896
|
entity |
| Predicate | featuresAnimationSegment |
P96809
|
FINISHED |
| Object | O-Ren Ishii backstory anime sequence |
—
|
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: O-Ren Ishii backstory anime sequence | Statement: [Kill Bill: Volume 1, featuresAnimationSegment, O-Ren Ishii backstory anime sequence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresAnimationSegment Context triple: [Kill Bill: Volume 1, featuresAnimationSegment, O-Ren Ishii backstory anime sequence]
-
A.
featuresAnimation
chosen
Indicates that something includes or prominently presents an animation as part of its content or functionality.
-
B.
featuresSegment
Indicates that one entity includes or highlights a particular segment or portion of another entity as a notable part of it.
-
C.
featuresSequence
Indicates that one entity presents or contains another entity as an ordered sequence of features or elements.
-
D.
animationTechnology
Indicates a relationship where one entity uses, is created with, or is characterized by a particular animation technology.
-
E.
featuresPostMatchSegmentWith
Indicates that one entity includes or is associated with a post-match segment involving 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_69ee883f80dc819090e311b022b78e02 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf769338819092a5f42653dcc956 |
completed | May 3, 2026, 10:43 p.m. |
Created at: April 27, 2026, 12:19 a.m.