Triple
T27555083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | If I Can’t Love Her |
E695611
|
entity |
| Predicate | intendedVocalistGender |
P92009
|
FINISHED |
| Object | male |
—
|
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: male | Statement: [If I Can’t Love Her, intendedVocalistGender, male]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedVocalistGender Context triple: [If I Can’t Love Her, intendedVocalistGender, male]
-
A.
vocalGender
chosen
Indicates the perceived or assigned gender associated with an entity’s voice in a vocal performance or recording.
-
B.
vocalGenderCombination
Indicates the combination of vocal genders (e.g., male, female, mixed) involved in a given vocal performance or vocal relationship.
-
C.
hasPerformerGender
Indicates that an action, event, or performance is associated with the gender of the performer who carries it out.
-
D.
vocalistIn
Indicates that a person serves as a vocalist (singer) in a particular musical group, band, or ensemble.
-
E.
originallyIntendedVocalist
Indicates that a person was the first or planned singer for a musical work or performance, even if they did not ultimately perform it.
- 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_69ef5387e97c8190a9dab040d21cd048 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f6b903538481909cffcb6cc1cc0e70 |
completed | May 3, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
Created at: April 27, 2026, 1:36 p.m.