Triple
T32877376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kayro-Vue Productions |
E840964
|
entity |
| Predicate | hasGenreInCatalog |
P109183
|
FINISHED |
| Object | 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: comedy | Statement: [Kayro-Vue Productions, hasGenreInCatalog, comedy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGenreInCatalog Context triple: [Kayro-Vue Productions, hasGenreInCatalog, comedy]
-
A.
hasGenreEligibility
Indicates that an entity qualifies to be categorized under a particular genre according to defined criteria.
-
B.
hasTargetGenreCategory
Indicates that something is associated with or classified under a specific target genre category.
-
C.
hasGenreRelation
Indicates that there is an association between an entity and a specific genre, specifying the type or category it belongs to.
-
D.
hasGenreInPortfolio
chosen
Indicates that an entity (such as a creator, label, or catalog) includes a particular genre within its body of work or offerings.
-
E.
hasGenreAsOutput
Indicates that an entity produces, results in, or outputs a particular genre as its outcome.
- 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_69f349436ee88190b72ee12d0f3f508e |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd0b92f42881908cd77e3f058adcc2 |
completed | May 7, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fd0a3d68d4819094d92040f7c48d7c |
completed | May 7, 2026, 9:55 p.m. |
Created at: May 1, 2026, 1:18 a.m.