Triple
T23615736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago house |
E583166
|
entity |
| Predicate | notableDJAssociated |
P153280
|
FINISHED |
| Object | Frankie Knuckles |
—
|
NE NERFINISHED |
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: Frankie Knuckles | Statement: [Chicago house, notableDJAssociated, Frankie Knuckles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableDJAssociated Context triple: [Chicago house, notableDJAssociated, Frankie Knuckles]
-
A.
notableDJ
Indicates that the subject is recognized as a distinguished or prominent disc jockey (DJ), known for their impact or reputation in the field.
-
B.
notableAssociatedArtist
Indicates that there is a significant or noteworthy association between an artist and another entity, such as a work, organization, or place.
-
C.
notableBandAssociated
Indicates that there is a significant or well-known association between an entity and a particular musical band, such as collaboration, membership, or frequent affiliation.
-
D.
bandNotableFor
Indicates that a musical band is especially known or recognized for a particular work, achievement, characteristic, or contribution.
-
E.
notableArtist
Indicates that the subject is an artist who is widely recognized or distinguished for their work.
- 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_69e248fbcd9081908ba08913f9d30826 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b174f6d881908416631229598fbb |
completed | April 29, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69f118d0e0588190a86527a7747c5427 |
completed | April 28, 2026, 8:30 p.m. |
| PDg | Predicate description generation | batch_69f138b8c9248190b059bc38a9a50958 |
completed | April 28, 2026, 10:46 p.m. |
Created at: April 17, 2026, 6:45 p.m.