Triple
T28196621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Special |
E716465
|
entity |
| Predicate | tremoloArmMaterial |
P164122
|
FINISHED |
| Object | hardened steel with plastic knitting needle tip |
—
|
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: hardened steel with plastic knitting needle tip | Statement: [Red Special, tremoloArmMaterial, hardened steel with plastic knitting needle tip]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tremoloArmMaterial Context triple: [Red Special, tremoloArmMaterial, hardened steel with plastic knitting needle tip]
-
A.
plectrumMaterial
Indicates the material from which a plectrum (pick) is made.
-
B.
hasTrimMaterial
Indicates that one entity uses or features a particular material specifically for its trim or edging components.
-
C.
tailUnitMaterial
Indicates that the material specified is used to construct or compose the tail unit of an object or structure.
-
D.
hasRopeMaterial
Indicates that an entity is made of, or incorporates, a specified rope material.
-
E.
fretMaterial
Indicates the material from which the frets of an instrument are made.
- F. None of above. chosen
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_69efd6b612f48190a72012b520afbd10 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f642d23ea481908f010394a925b83f |
completed | May 2, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69f63c6c1a948190b68c0f92c264cc0c |
completed | May 2, 2026, 6:03 p.m. |
| PDg | Predicate description generation | batch_69f63fd4f7448190930c723ba7cfce62 |
completed | May 2, 2026, 6:17 p.m. |
Created at: April 27, 2026, 10:28 p.m.