Triple
T6403564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Skinhead |
E144120
|
entity |
| Predicate | featuresProminentDrums |
P54631
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Black Skinhead, featuresProminentDrums, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresProminentDrums Context triple: [Black Skinhead, featuresProminentDrums, true]
-
A.
hasDrummer
Indicates that one entity serves as the drummer for, or plays drums in, another entity such as a band or musical group.
-
B.
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).
-
C.
notableInstrument
Indicates that an entity is especially known for playing or being associated with a particular musical instrument.
-
D.
featuresBeatSwitch
Indicates that one entity includes or incorporates a change in rhythmic pattern or beat, typically marking a transition within a sequence or composition.
-
E.
notableSongCharacteristic
Indicates that a song is distinguished by a particular notable feature or quality, such as style, structure, or performance trait.
- 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_69c008dc56fc81908d43ffcc11d73bdd |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c068af3f448190a94ecd5109e9e8e4 |
completed | March 22, 2026, 10:09 p.m. |
| PD | Predicate disambiguation | batch_69c060f40ecc8190b1df17b96767675c |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:35 p.m.