Triple
T36778334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grammy Award for Best Pop Duo/Group Performance (for Kiss Me More) |
E908695
|
entity |
| Predicate | performerAwarded |
P197115
|
FINISHED |
| Object | Doja Cat |
—
|
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: Doja Cat | Statement: [Grammy Award for Best Pop Duo/Group Performance (for Kiss Me More), performerAwarded, Doja Cat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performerAwarded Context triple: [Grammy Award for Best Pop Duo/Group Performance (for Kiss Me More), performerAwarded, Doja Cat]
-
A.
awardForPerformerType
Indicates that an award is designated for or associated with a specific type or category of performer.
-
B.
musicAwardedTo
chosen
Indicates that a music-related award has been given to a particular recipient.
-
C.
albumAwardedTo
Indicates that a particular album has been granted or assigned to a specific recipient, such as an artist or group.
-
D.
holderAwardedFor
Indicates that an award holder received the award specifically in recognition of, or as a result of, a particular work, achievement, or contribution.
-
E.
awardReceivedByCastMember
Indicates that a specific award was received by a member of a production’s cast.
- 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_69f76e798aa08190ace31098d1b13e9f |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff289541e0819096eeceb8e6332650 |
completed | May 9, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69ff281ab1988190920f0443be9f10cc |
completed | May 9, 2026, 12:27 p.m. |
Created at: May 3, 2026, 4:12 p.m.