Triple
T22663460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dum Maro Dum |
E559720
|
entity |
| Predicate | primaryVocalistGender |
P92009
|
FINISHED |
| Object | female |
—
|
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: female | Statement: [Dum Maro Dum, primaryVocalistGender, female]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryVocalistGender Context triple: [Dum Maro Dum, primaryVocalistGender, female]
-
A.
vocalGender
chosen
Indicates the perceived or assigned gender associated with an entity’s voice in a vocal performance or recording.
-
B.
primaryVocalist
Indicates that the subject is the main singer or lead vocal performer for the object (such as a song, track, or musical work).
-
C.
hasFemaleVocalist
Indicates that the subject entity features or includes at least one female vocalist as a performer.
-
D.
primaryVocalistNationality
Indicates the nationality or country affiliation of the person who serves as the primary vocalist for a musical act or performance.
-
E.
vocalistIn
Indicates that a person serves as a vocalist (singer) in a particular musical group, band, or ensemble.
- 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f176617ed8819095a58a2c9f1e3918 |
completed | April 29, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69ee62a6245881909506ff502da14137 |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:08 p.m.