Triple
T21673074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Patrick Page |
E534901
|
entity |
| Predicate | hasSignatureTechnique |
P3047
|
FINISHED |
| Object | use of violin bow on 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: use of violin bow on electric guitar | Statement: [James Patrick Page, hasSignatureTechnique, use of violin bow on electric guitar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSignatureTechnique Context triple: [James Patrick Page, hasSignatureTechnique, use of violin bow on electric guitar]
-
A.
hasTypicalInscriptionMethod
Indicates the usual or characteristic method by which inscriptions are applied or created on an object or surface.
-
B.
hasSignatureUse
Indicates that an entity is used as an official or primary signature or identifying mark for another entity.
-
C.
hasSignatureWorkFeature
Indicates that an entity possesses a distinctive characteristic or element that defines or exemplifies its signature work.
-
D.
hasTechnique
chosen
Indicates that an entity employs, utilizes, or is associated with a particular method, procedure, or technique.
-
E.
signatureTechnology
Indicates the technology or method used to create, capture, or verify a signature.
- 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_69e0c46898008190aa618a4af55bd1ee |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef8a0e06688190a75ea29534f5eed3 |
completed | April 27, 2026, 4:08 p.m. |
| PD | Predicate disambiguation | batch_69e6968abfdc81909cf9e0bd72db9eca |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:41 p.m.