Triple
T767567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EP: Walnut Whales |
E16208
|
entity |
| Predicate | primaryInstrumentOfArtist |
P9123
|
FINISHED |
| Object | harp |
—
|
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: harp | Statement: [EP: Walnut Whales, primaryInstrumentOfArtist, harp]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryInstrumentOfArtist Context triple: [EP: Walnut Whales, primaryInstrumentOfArtist, harp]
-
A.
playedInstrument
Indicates that an entity performed or used a particular musical instrument.
-
B.
typeOfInstrument
Indicates the specific kind or category of instrument associated with an entity.
-
C.
notableInstrument
chosen
Indicates that an entity is especially known for playing or being associated with a particular musical instrument.
-
D.
primaryInstrumentalFocus
Indicates that one entity serves as the main or most emphasized instrument or means by which another entity performs an action or achieves an effect.
-
E.
musicInstrumentation
Indicates the specific instruments or instrumental forces used to perform a piece of music.
- 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_69a49369a0848190af883934cee3db4c |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a765ba688190ab328bb159583077 |
completed | March 1, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69a4a5074c788190a74fc20ad24e2d26 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.