Triple
T17630134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harlem Nocturne |
E429952
|
entity |
| Predicate | typicalLeadInstrument |
P128335
|
FINISHED |
| Object | alto 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: alto saxophone | Statement: [Harlem Nocturne, typicalLeadInstrument, alto saxophone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalLeadInstrument Context triple: [Harlem Nocturne, typicalLeadInstrument, alto saxophone]
-
A.
typeOfInstrument
Indicates the specific kind or category of instrument associated with an entity.
-
B.
playedInstrument
Indicates that an entity performed or used a particular musical instrument.
-
C.
notableInstrument
Indicates that an entity is especially known for playing or being associated with a particular musical instrument.
-
D.
primaryInstrumentAbbreviation
Indicates that one entity is the standard shortened or abbreviated form of the name of another entity’s primary instrument.
-
E.
typicalInstrumentAtPremiere
Indicates that a particular musical instrument is commonly used or featured during the premiere performance of a work.
- 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46dc01b1c819099e3329cfb8cb77f |
completed | April 19, 2026, 5:53 a.m. |
| PD | Predicate disambiguation | batch_69e3cdd7da34819099bc9481c5a79bab |
completed | April 18, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69e3cfaac2b881909e1140339eb1a0dd |
completed | April 18, 2026, 6:38 p.m. |
Created at: April 10, 2026, 5:52 a.m.