Triple
T36222616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abby Lee Dance Company |
E1047893
|
entity |
| Predicate | hasTVGenreAssociation |
P124610
|
FINISHED |
| Object | reality television |
—
|
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: reality television | Statement: [Abby Lee Dance Company, hasTVGenreAssociation, reality television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTVGenreAssociation Context triple: [Abby Lee Dance Company, hasTVGenreAssociation, reality television]
-
A.
hasAssociatedTVSeries
Indicates that one entity is linked to another entity that is a related or derived television series.
-
B.
hasGenreRelation
chosen
Indicates that there is an association between an entity and a specific genre, specifying the type or category it belongs to.
-
C.
tvGenre
Indicates the genre or category to which a television show or program belongs.
-
D.
hasGenreInSeries
Indicates that a particular genre is associated with, or applies to, a work as it appears within a specific series.
-
E.
hasGenreEligibility
Indicates that an entity qualifies to be categorized under a particular genre according to defined criteria.
- 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_69f76e42c878819095c8d19c0267fb87 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b5817a9081908b4a0d6184791217 |
completed | May 3, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c44390819084fb5558b354658f |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:09 p.m.