Triple
T19988701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keisha Spivey |
E494000
|
entity |
| Predicate | musicGroupType |
P138232
|
FINISHED |
| Object | girl group |
—
|
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: girl group | Statement: [Keisha Spivey, musicGroupType, girl group]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicGroupType Context triple: [Keisha Spivey, musicGroupType, girl group]
-
A.
musicGroupGenre
Indicates the musical genre or style that a particular music group is associated with or performs.
-
B.
musicGroupCountry
Indicates the country with which a musical group is primarily associated, such as its origin or main base of activity.
-
C.
musicGroupFormedPartOf
Indicates that one musical group was formed as a component, subdivision, or offshoot of another musical group.
-
D.
musicGroupFormedBy
Indicates that a musical group was created, established, or brought together by a specific person or entity.
-
E.
musicGroupFounded
Indicates the relationship where a music group is established or created at a specific time or by a particular founder or entity.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fddfee081909aa8cd6e279b2a7a |
completed | April 20, 2026, 5:18 p.m. |
| PD | Predicate disambiguation | batch_69e537fd311881908448f2aea8b4812e |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c42c688190a22f4d31ec692377 |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 11, 2026, 3:30 p.m.