Triple
T32459438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fleetwoods |
E829523
|
entity |
| Predicate | vocalRole_Gary_Troxel |
P179537
|
FINISHED |
| Object | lead tenor |
—
|
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: lead tenor | Statement: [The Fleetwoods, vocalRole_Gary_Troxel, lead tenor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vocalRole_Gary_Troxel Context triple: [The Fleetwoods, vocalRole_Gary_Troxel, lead tenor]
-
A.
vocalTypeOfTancredi
Indicates the vocal classification or voice type associated with the character Tancredi.
-
B.
vocalGender
Indicates the perceived or assigned gender associated with an entity’s voice in a vocal performance or recording.
-
C.
tenor
Indicates a relationship where an entity serves as the primary participant, subject, or focus in a communicative or experiential process (e.g., the one who feels, thinks, says, or experiences something).
-
D.
vocalistIn
Indicates that a person serves as a vocalist (singer) in a particular musical group, band, or ensemble.
-
E.
vocalTypeOfRodolfo
Indicates the specific vocal classification or voice type associated with the character Rodolfo.
- F. None of above. chosen
Provenance (4 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_69f3491df9288190afc0b23b1d6e72ce |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f722c1bc648190a79bfdc722dcaaa4 |
completed | May 3, 2026, 10:26 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
| PDg | Predicate description generation | batch_69f7221bc57c819085c1464a45e61b2f |
completed | May 3, 2026, 10:23 a.m. |
Created at: May 1, 2026, 12:57 a.m.