Triple
T37246951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Happy Dust |
E923881
|
entity |
| Predicate | introducedInGenre |
P33225
|
FINISHED |
| Object | American opera |
—
|
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: American opera | Statement: [Happy Dust, introducedInGenre, American opera]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedInGenre Context triple: [Happy Dust, introducedInGenre, American opera]
-
A.
genreIntroduced
Indicates that a particular genre was first introduced, originated, or came into existence at a specific time, place, or by a specific agent.
-
B.
coveredInGenre
chosen
Indicates that a work or item is associated with, categorized under, or treated within a particular genre.
-
C.
referencedInGenre
Indicates that one entity is mentioned, cited, or otherwise referred to within the context of a particular genre.
-
D.
isPopularInGenre
Indicates that an entity enjoys significant recognition, approval, or widespread appeal within a specified genre.
-
E.
introducedInGeneration
Indicates that an entity first appeared or was originally introduced in a specified generation within a series or system.
- 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_69f76eaabb4c819093b751b139dad551 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fed09a12648190affcd9bacf7ca275 |
completed | May 9, 2026, 6:13 a.m. |
| PD | Predicate disambiguation | batch_69fecf91d6f481908deb60c965c433ed |
completed | May 9, 2026, 6:09 a.m. |
Created at: May 3, 2026, 4:15 p.m.