Triple
T31194488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaos and Creation in the Backyard |
E795280
|
entity |
| Predicate | mostInstrumentsPerformedBy |
P91786
|
FINISHED |
| Object | Paul McCartney |
—
|
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: Paul McCartney | Statement: [Chaos and Creation in the Backyard, mostInstrumentsPerformedBy, Paul McCartney]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostInstrumentsPerformedBy Context triple: [Chaos and Creation in the Backyard, mostInstrumentsPerformedBy, Paul McCartney]
-
A.
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.
-
B.
playedInstrument
Indicates that an entity performed or used a particular musical instrument.
-
C.
instrumentsUsedBy
Indicates that a particular instrument, tool, or device is employed or utilized by a given entity to perform an action or achieve a result.
-
D.
studiedByInstrument
Indicates that something is examined, measured, or analyzed through the use of a specific instrument or device.
-
E.
multiInstrumentalist
chosen
Indicates that a person is proficient in playing multiple musical instruments, rather than specializing in just one.
- 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_69f224d7a6a481908187c4362a8a525f |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c234d648190a243fb2b107136a9 |
completed | May 3, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:09 p.m.