Triple
T7727073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gibson F-5 style mandolin |
E175156
|
entity |
| Predicate | hasUseGenre |
P78820
|
FINISHED |
| Object | acoustic music |
—
|
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: acoustic music | Statement: [Gibson F-5 style mandolin, hasUseGenre, acoustic music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUseGenre Context triple: [Gibson F-5 style mandolin, hasUseGenre, acoustic music]
-
A.
hasMainGenre
Indicates that an entity’s primary or most characteristic genre is the specified genre.
-
B.
hasStageGenre
Indicates a relationship where a stage production or performance is associated with a particular theatrical or performance genre.
-
C.
hasGenreList
Indicates that an entity is associated with a set or list of genres that categorize or describe it.
-
D.
hasGenreInRoles
Indicates that an entity participates in roles associated with a particular genre or set of genres.
-
E.
hasCanonicalGenre
Indicates that an entity is associated with its primary or officially recognized genre classification.
- 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_69c6995d541c81909eaa646b1a8369a9 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7074eca4c8190bd51fd1b450729e8 |
completed | March 27, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69c7016a6cf88190b53bf4b958f0f302 |
completed | March 27, 2026, 10:15 p.m. |
| PDg | Predicate description generation | batch_69c7074cd1f081908d5e8951660e7271 |
completed | March 27, 2026, 10:40 p.m. |
Created at: March 27, 2026, 4:06 p.m.