Triple
T4696693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mouse Hunt (film score) |
E104160
|
entity |
| Predicate | supportsNarrativeGenre |
P30020
|
FINISHED |
| Object | slapstick comedy |
—
|
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: slapstick comedy | Statement: [Mouse Hunt (film score), supportsNarrativeGenre, slapstick comedy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsNarrativeGenre Context triple: [Mouse Hunt (film score), supportsNarrativeGenre, slapstick comedy]
-
A.
supportsNarrativeOf
Indicates that one entity provides evidence, context, or structure that upholds, reinforces, or advances the storyline or interpretive account expressed by another entity.
-
B.
supportsNarrativeText
Indicates that one entity provides justification, evidence, or contextual backing that helps explain or validate the narrative content expressed by another entity.
-
C.
supportedGenre
chosen
Indicates that an entity (such as a system, service, or tool) is capable of handling, providing, or working with a specified genre.
-
D.
narrativeType
Indicates the specific kind or category of narrative (e.g., genre, structural form, or storytelling mode) associated with an entity.
-
E.
containsNarrativeOf
Indicates that one entity includes or presents the story, account, or narrative content of 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_69bd43df91f481908e9add1b617b60ef |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd650ad0f88190844bfcb46b3071c2 |
completed | March 20, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69bd621ba7448190a53ab1e2897acf71 |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:17 p.m.