Triple
T2382358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucille |
E46337
|
entity |
| Predicate | fingerboardMaterial |
P1272
|
FINISHED |
| Object | ebony (on many signature models) |
—
|
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: ebony (on many signature models) | Statement: [Lucille, fingerboardMaterial, ebony (on many signature models)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fingerboardMaterial Context triple: [Lucille, fingerboardMaterial, ebony (on many signature models)]
-
A.
materialUsed
chosen
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
B.
gripType
Indicates the manner or style in which one entity physically holds or grasps another.
-
C.
fiberType
Indicates the specific kind or classification of fiber that characterizes or composes an entity.
-
D.
typeOfInstrument
Indicates the specific kind or category of instrument associated with an entity.
-
E.
foundingInstrument
Indicates the legal or formal document, act, or instrument by which an organization, institution, or entity was originally established or founded.
- 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_69a88a1554a48190a0180682bcf099be |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc7b98c988190abdb4fe51bf65bde |
completed | March 7, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69abc59f73f08190924a36d7d475d8f4 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:57 p.m.