Triple
T17511614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Connection |
E426463
|
entity |
| Predicate | blendsWithGenre |
P127712
|
FINISHED |
| Object | electronic music |
—
|
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: electronic music | Statement: [The Connection, blendsWithGenre, electronic music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: blendsWithGenre Context triple: [The Connection, blendsWithGenre, electronic music]
-
A.
hasGenreFeature
Indicates that something possesses a characteristic, element, or trait associated with a particular genre.
-
B.
bearerGenre
Indicates that an entity (the bearer) is associated with or characterized by a particular genre.
-
C.
hasGenreOfClaim
Indicates that a claim is categorized or classified under a particular genre or type of claim.
-
D.
hasGenreAsOutput
Indicates that an entity produces, results in, or outputs a particular genre as its outcome.
-
E.
targetGenre
Indicates the genre that something is specifically aimed at, categorized under, or intended to belong to.
- F. None of above. chosen
Provenance (4 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4525c21c88190a9394c4bce006a38 |
completed | April 19, 2026, 3:56 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f5fbcc8190a6ea9639bf5650da |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb37d148190b7f38599c06594ee |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:48 a.m.