Triple
T37581122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On ne badine pas avec l’amour (stage role) |
E934961
|
entity |
| Predicate | associatedCharacterName |
—
|
GENERATED |
| Object | Perdican |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedCharacterName Context triple: [On ne badine pas avec l’amour (stage role), associatedCharacterName, Perdican]
-
A.
associatedCharacters
Indicates that two or more characters are linked or connected through some relationship, involvement, or relevance to each other.
-
B.
relatedCharacter
Indicates that one character has a specified relationship or association with another character.
-
C.
fictionalCharacterAssociatedWith
Indicates that there is a notable connection or association between a fictional character and another entity, such as a work, creator, or universe.
-
D.
notableCharacterName
chosen
Indicates that the subject has a notable or significant character whose name is given by the object.
-
E.
characterUses
Indicates that a character employs, wields, or makes use of a particular object, tool, ability, or resource.
- F. None of above.
Provenance (1 batch)
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_69f76ece61dc8190a0ab33f8d87d0a7e |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:17 p.m.