Triple
T10911038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin N-20 |
E257696
|
entity |
| Predicate | guitarType |
P12711
|
FINISHED |
| Object | classical-style acoustic 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: classical-style acoustic guitar | Statement: [Martin N-20, guitarType, classical-style acoustic guitar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: guitarType Context triple: [Martin N-20, guitarType, classical-style acoustic guitar]
-
A.
typeOfInstrument
chosen
Indicates the specific kind or category of instrument associated with an entity.
-
B.
hasGuitarStyle
Indicates that an entity is associated with, characterized by, or performs using a particular style of guitar playing.
-
C.
hasMainGuitar
Indicates that one entity serves as the primary or principal guitar associated with another entity.
-
D.
hasSteelGuitar
Indicates that one entity possesses, includes, or features a steel guitar in relation to another entity or context.
-
E.
musicInstrumentation
Indicates the specific instruments or instrumental forces used to perform a piece of music.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77071492c8190bd6f8623a59464c9 |
completed | April 9, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69d70d3f9dc88190a686a8b0dd6a3b21 |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:22 p.m.