Triple
T28298885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | True Stories |
E713647
|
entity |
| Predicate | hasMusicalCategory |
P114859
|
FINISHED |
| Object | vocal album |
—
|
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: vocal album | Statement: [True Stories, hasMusicalCategory, vocal album]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicalCategory Context triple: [True Stories, hasMusicalCategory, vocal album]
-
A.
hasMusicCategory
chosen
Indicates that something is associated with, classified under, or belongs to a particular category or type of music.
-
B.
hasMusical
Indicates that one entity features, includes, or is associated with a musical work, performance, or musical component.
-
C.
hasMusicalWorkType
Indicates that a musical work is associated with a specific type or category of musical composition.
-
D.
hasMusicalArtistType
Indicates that an entity has a specific role or classification as a type of musical artist (e.g., solo artist, band, composer).
-
E.
hasMusicalEnsembleGenre
Indicates that a musical ensemble is associated with or performs in a particular musical genre.
- 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_69efb524ab688190a1ce7ee7c9520932 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
Created at: April 27, 2026, 11:34 p.m.