Triple
T37819046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Paul & Mary Ford |
E942854
|
entity |
| Predicate | primaryInstrumentOfLesPaul |
P12601
|
FINISHED |
| Object | electric guitar |
—
|
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: electric guitar | Statement: [Les Paul & Mary Ford, primaryInstrumentOfLesPaul, electric guitar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryInstrumentOfLesPaul Context triple: [Les Paul & Mary Ford, primaryInstrumentOfLesPaul, electric guitar]
-
A.
usesElectricGuitar
Indicates that an entity performs, creates, or is associated with an action or role that involves playing or employing an electric guitar.
-
B.
hasElectricGuitar
Indicates that an entity possesses or is associated with an electric guitar.
-
C.
primaryInstrumentAbbreviation
Indicates that one entity is the standard shortened or abbreviated form of the name of another entity’s primary instrument.
-
D.
playedInstrument
chosen
Indicates that an entity performed or used a particular musical instrument.
-
E.
parentInstrument
Indicates that one instrument serves as the broader, containing, or originating instrument from which another, more specific or derived instrument is related.
- 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_69f76ee987588190906506e759be5db3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:19 p.m.