Triple
T34948886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angel of the Morning |
E1007927
|
entity |
| Predicate | hasFemaleLeadVocalInMostVersions |
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: [Angel of the Morning, hasFemaleLeadVocalInMostVersions, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFemaleLeadVocalInMostVersions Context triple: [Angel of the Morning, hasFemaleLeadVocalInMostVersions, 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.
isVocalVersionOf
Indicates that one item is a version of another that includes vocal or sung elements, typically derived from an original instrumental or non-vocal form.
-
E.
hasVerseVocalist
Indicates that a person performs the vocal part specifically in the verse section of a musical work or recording.
- 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_69f76dc5d4308190b77553ee07b1ede6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fb563aec448190875410fb1a3ed624 |
completed | May 6, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69fb35b9ede881908aaae93a215525df |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4 p.m.