Triple
T37819060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Paul & Mary Ford |
E942854
|
entity |
| Predicate | notableInstrumentBrandAssociatedWithLesPaul |
P9123
|
FINISHED |
| Object | Gibson Les Paul guitar |
E278641
|
NE 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: Gibson Les Paul guitar | Statement: [Les Paul & Mary Ford, notableInstrumentBrandAssociatedWithLesPaul, Gibson Les Paul guitar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableInstrumentBrandAssociatedWithLesPaul Context triple: [Les Paul & Mary Ford, notableInstrumentBrandAssociatedWithLesPaul, Gibson Les Paul guitar]
-
A.
guitarBrand
Indicates that one entity is the brand or manufacturer of a guitar represented by the other entity.
-
B.
notableManufacturer
Indicates that an entity is a well-known or prominent producer or maker of another entity.
-
C.
notableLuthier
Indicates that a person is recognized as a distinguished or prominent maker of stringed musical instruments (a luthier).
-
D.
notableInstrument
chosen
Indicates that an entity is especially known for playing or being associated with a particular musical instrument.
-
E.
notableInstrumentBuilt
Indicates that an entity is notable for having built or constructed a particular instrument.
- F. None of above.
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_69f76ee987588190906506e759be5db3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a4117df437481908140f3b6a0039213 |
completed | June 28, 2026, 12:47 p.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:19 p.m.