Triple
T28331771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les pêcheurs de perles |
E717554
|
entity |
| Predicate | notableDuetVoices |
P202850
|
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: [Les pêcheurs de perles, notableDuetVoices, tenor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableDuetVoices Context triple: [Les pêcheurs de perles, notableDuetVoices, tenor]
-
A.
notableDuo
Indicates that two entities are widely recognized together as a famous or significant pair.
-
B.
hasNotablePerformerDuo
Indicates that the subject has a notable performing duo associated with it, such as a well-known pair of artists or entertainers who perform together.
-
C.
hasVocalDuet
Indicates that two entities perform or participate together in a vocal duet.
-
D.
notableCharacterVoiced
Indicates that a notable character is voiced or performed by a specific voice actor or performer.
-
E.
notableChorus
Indicates that an entity is recognized for having a particularly prominent or distinguished chorus section.
- 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_69eff6e9a57c8190a69c2c74b5d72119 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_6a00c59b03dc8190870f0dd24603a1ef |
completed | May 10, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_6a00c5178bc88190b2a0e03f38314035 |
completed | May 10, 2026, 5:49 p.m. |
| PDg | Predicate description generation | batch_6a00c59a1af88190848c5b1775af9caa |
completed | May 10, 2026, 5:51 p.m. |
Created at: April 28, 2026, 12:32 a.m.