Triple
T20014074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mon légionnaire |
E494664
|
entity |
| Predicate | vocalTypeAssociatedWith |
P135747
|
FINISHED |
| Object | Édith Piaf’s repertoire |
—
|
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: Édith Piaf’s repertoire | Statement: [Mon légionnaire, vocalTypeAssociatedWith, Édith Piaf’s repertoire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vocalTypeAssociatedWith Context triple: [Mon légionnaire, vocalTypeAssociatedWith, Édith Piaf’s repertoire]
-
A.
hasMusicalVocalType
chosen
Indicates that an entity is associated with a specific type or classification of singing voice.
-
B.
hasNotableVocalType
Indicates that an entity is associated with a specific, noteworthy type or quality of vocalization or voice.
-
C.
vocalConfiguration
Indicates how an entity’s vocal or sound-producing characteristics are arranged or specified in relation to another entity or context.
-
D.
vocalGender
Indicates the perceived or assigned gender associated with an entity’s voice in a vocal performance or recording.
-
E.
voiceType
Indicates the specific vocal style, quality, or role associated with an entity’s voice in a given context.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6623a9bd48190a3344a07540170c7 |
completed | April 20, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69e54cdddbd48190becc8b2aa5ab4ef9 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:34 p.m.