Triple
T34047778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boss Horn |
E873131
|
entity |
| Predicate | hasWoodwindSection |
P178230
|
FINISHED |
| Object | saxophone |
—
|
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: saxophone | Statement: [Boss Horn, hasWoodwindSection, saxophone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWoodwindSection Context triple: [Boss Horn, hasWoodwindSection, saxophone]
-
A.
hasOrchestraSection
Indicates that something includes or is associated with a particular section of an orchestra.
-
B.
hasMusicalEnsembleType
Indicates that an entity is associated with or classified as a particular type of musical ensemble.
-
C.
woodwindsIncluded
chosen
Indicates that woodwind instruments are part of the specified group, ensemble, or collection.
-
D.
hasRhythmSection
Indicates that an entity (such as a musical group or piece) includes or is associated with a rhythm section component.
-
E.
hasMusicalEnsemble
Indicates that one entity is associated with or includes a particular musical ensemble (such as a band, orchestra, or group) as part of its activities or composition.
- 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_69f349a3ec2c8190b62da76e54231a0f |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fe031bc6208190860099aef72d8dcb |
completed | May 8, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69fe014c8b388190b5d4e0cb95ee2be5 |
completed | May 8, 2026, 3:29 p.m. |
Created at: May 1, 2026, 1:51 a.m.