Triple
T26205975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard Duane Allman |
E655357
|
entity |
| Predicate | associatedInstrumentBrand |
P69937
|
FINISHED |
| Object | Gibson Les Paul guitar |
—
|
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: Gibson Les Paul guitar | Statement: [Howard Duane Allman, associatedInstrumentBrand, Gibson Les Paul guitar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedInstrumentBrand Context triple: [Howard Duane Allman, associatedInstrumentBrand, Gibson Les Paul guitar]
-
A.
relatedToInstrument
Indicates a general relationship where one entity is connected or associated with a musical instrument.
-
B.
usedBrandOf
chosen
Indicates that one entity made use of or operated an item, product, or service associated with a particular brand.
-
C.
guitarBrand
Indicates that one entity is the brand or manufacturer of a guitar represented by the other entity.
-
D.
relatesToInstrument
Indicates a relationship where one entity is associated with, involves, or makes use of a particular instrument or tool.
-
E.
partOfMusicalBrand
Indicates that something belongs to, is a component of, or is officially associated with a particular musical brand.
- 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_69ee5b49adb4819086545280d4ef6337 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69fedd5a5f4c8190acce88db56303703 |
completed | May 9, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_69fed910b31c8190ae837163d146738d |
completed | May 9, 2026, 6:49 a.m. |
Created at: April 26, 2026, 8:50 p.m.