Triple
T24299125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Other Two |
E606043
|
entity |
| Predicate | memberPlaysInstrument |
P12601
|
FINISHED |
| Object | Gillian Gilbert – keyboards |
—
|
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: Gillian Gilbert – keyboards | Statement: [The Other Two, memberPlaysInstrument, Gillian Gilbert – keyboards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memberPlaysInstrument Context triple: [The Other Two, memberPlaysInstrument, Gillian Gilbert – keyboards]
-
A.
playedInstrument
chosen
Indicates that an entity performed or used a particular musical instrument.
-
B.
hasMusicalInstrument
Indicates that one entity possesses, uses, or is associated with a particular musical instrument.
-
C.
studiedByInstrument
Indicates that something is examined, measured, or analyzed through the use of a specific instrument or device.
-
D.
associatedInstrumentalist
Indicates that an instrumentalist is connected to or involved with another entity, such as a work, performance, or recording, in a relevant musical role.
-
E.
musicInstrumentation
Indicates the specific instruments or instrumental forces used to perform a piece of music.
- 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_69e29549335881909cbf27adcaba1cf0 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f2915d8ac881908d71ba529e30f434 |
completed | April 29, 2026, 11:16 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 12:09 a.m.