Triple
T30214620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Widow |
E768166
|
entity |
| Predicate | hasFemaleLeadVocals |
P26740
|
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 Widow, hasFemaleLeadVocals, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFemaleLeadVocals Context triple: [Black Widow, hasFemaleLeadVocals, true]
-
A.
hasMaleLeadVocal
Indicates that the primary lead vocal in a performance, recording, or musical work is performed by a male singer.
-
B.
hasFemaleVocalist
chosen
Indicates that the subject entity features or includes at least one female vocalist as a performer.
-
C.
usesLeadVocalsFrom
Indicates that one musical work incorporates or is built around the lead vocal track taken from another work.
-
D.
hasVocals
Indicates that the subject includes or features vocal elements, such as singing or spoken voice, rather than being purely instrumental or non-vocal.
-
E.
hasNoLeadVocals
Indicates that the referenced musical work or track does not feature any lead vocal performance.
- 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_69f2247fd8b8819087fcf83cb7a05eb8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f71f8ee0688190bd025f27993452d3 |
completed | May 3, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
Created at: April 29, 2026, 7:33 p.m.