Triple
T29588818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danse mon Esmeralda |
E754097
|
entity |
| Predicate | originalQuasimodoPerformer |
P34320
|
FINISHED |
| Object | Garou |
—
|
NE NERFINISHED |
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: Garou | Statement: [Danse mon Esmeralda, originalQuasimodoPerformer, Garou]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalQuasimodoPerformer Context triple: [Danse mon Esmeralda, originalQuasimodoPerformer, Garou]
-
A.
originalPerformerCharacter
chosen
Indicates that a performer is the first or primary actor to portray a particular character in a work.
-
B.
originalPerformer
Indicates that an entity is the first or initial performer of a work, role, or performance.
-
C.
originallyPerformedByCharacter
Indicates that an action, work, or role was first carried out or portrayed by a particular character.
-
D.
originalHitPerformerParodied
Indicates that the subject is the original performer of a hit work that is being parodied by the object.
-
E.
performerCharacterName
Indicates that a performer is associated with or portrays a specific character name in a performance or work.
- 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_69f0ef836ac88190bd809dc58b5ec907 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69ffacdf9f5c8190baef0245edfe87fc |
completed | May 9, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69ffac5e86e08190a1e6da0840a237ad |
completed | May 9, 2026, 9:51 p.m. |
Created at: April 28, 2026, 6:12 p.m.