Triple
T11116209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Codes (From the Underground) |
E262890
|
entity |
| Predicate | mainInstrumentFeatured |
P54631
|
FINISHED |
| Object | trumpet |
—
|
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: trumpet | Statement: [Black Codes (From the Underground), mainInstrumentFeatured, trumpet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainInstrumentFeatured Context triple: [Black Codes (From the Underground), mainInstrumentFeatured, trumpet]
-
A.
featuresPrimaryInstrument
chosen
Indicates that an entity is associated with the main or most prominent instrument used or highlighted in another entity (such as a work, performance, or recording).
-
B.
notableInstrument
Indicates that an entity is especially known for playing or being associated with a particular musical instrument.
-
C.
musicInstrumentation
Indicates the specific instruments or instrumental forces used to perform a piece of music.
-
D.
inspiredInstrument
Indicates that one entity served as the creative inspiration or model for the design, creation, or development of another instrument.
-
E.
coreInstrument
Indicates that an instrument plays a central or primary role in performing an action or achieving an outcome.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79aa81d8c81908a387b56cbcc9128 |
completed | April 9, 2026, 12:25 p.m. |
| PD | Predicate disambiguation | batch_69d7441cf8188190b8095f622c923156 |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:27 p.m.