Triple
T12326475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manon Lescaut |
E293841
|
entity |
| Predicate | LescautVoiceType |
P2000
|
FINISHED |
| Object | baritone |
—
|
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: baritone | Statement: [Manon Lescaut, LescautVoiceType, baritone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: LescautVoiceType Context triple: [Manon Lescaut, LescautVoiceType, baritone]
-
A.
voiceType
chosen
Indicates the specific vocal style, quality, or role associated with an entity’s voice in a given context.
-
B.
hasVoiceActing
Indicates that one entity provides voice performance for a character, role, or work associated with another entity.
-
C.
spokenBy
Indicates that a particular utterance, statement, or piece of speech is produced or said by a specific entity.
-
D.
voiceActingRoleIn
Indicates that an entity performs a voice acting role in a specified work or production.
-
E.
hasVoices
Indicates that an entity possesses or includes one or more vocal parts, voice tracks, or spoken/sung voice elements.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec5be788190b82d2edc6a0f1095 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.