Triple
T28298733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reprise |
E713642
|
entity |
| Predicate | hasPrimaryVocalRange |
P1151
|
FINISHED |
| Object | 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: tenor | Statement: [Reprise, hasPrimaryVocalRange, tenor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryVocalRange Context triple: [Reprise, hasPrimaryVocalRange, tenor]
-
A.
hasVocalRangeDescription
Indicates that an entity is associated with a textual description of its vocal range or vocal capabilities.
-
B.
vocalRange
chosen
Indicates the span of pitches or notes that an entity (such as a singer or instrument) is capable of producing.
-
C.
hasNotableVocalType
Indicates that an entity is associated with a specific, noteworthy type or quality of vocalization or voice.
-
D.
hasSecondaryVocalStyle
Indicates that an entity (typically a performer or recording) employs an additional, non-primary vocal style alongside its main vocal style.
-
E.
hasMusicalVocalType
Indicates that an entity is associated with a specific type or classification of singing voice.
- 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_69efb524ab688190a1ce7ee7c9520932 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69fec00f27988190955de6b6348a4d97 |
completed | May 9, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_69febd52037c8190b475dbd50fdbc13e |
completed | May 9, 2026, 4:51 a.m. |
Created at: April 27, 2026, 11:34 p.m.