Triple
T12243080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mario Del Monaco |
E291782
|
entity |
| Predicate | vocalFach |
P1151
|
FINISHED |
| Object | dramatic 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: dramatic tenor | Statement: [Mario Del Monaco, vocalFach, dramatic tenor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vocalFach Context triple: [Mario Del Monaco, vocalFach, dramatic tenor]
-
A.
vocal
Indicates that an entity produces or is characterized by audible sounds, speech, or vocalizations.
-
B.
vocalRange
chosen
Indicates the span of pitches or notes that an entity (such as a singer or instrument) is capable of producing.
-
C.
vocalForm
Indicates the specific vocal or phonetic form in which something (such as a word, sound, or utterance) is expressed.
-
D.
vocalForces
Indicates a relationship where one entity uses vocal expression (such as speech, singing, or sound) to exert influence, pressure, or compulsion on another entity.
-
E.
vocalGender
Indicates the perceived or assigned gender associated with an entity’s voice in a vocal performance 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91d38ee10819093ed41d2954bf4ef |
completed | April 10, 2026, 3:54 p.m. |
| PD | Predicate disambiguation | batch_69d91c46dcd88190a263db30804bff36 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:51 p.m.