Triple
T34513585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bobbie |
E886087
|
entity |
| Predicate | relationshipToMainCharacters |
—
|
GENERATED |
| Object | romantic partner |
—
|
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: relationshipToMainCharacters Context triple: [Bobbie, relationshipToMainCharacters, romantic partner]
-
A.
relationshipToCharacter
chosen
Indicates the specific type of personal, social, or narrative connection that one entity has to a given character.
-
B.
relatedCharacter
Indicates that one character has a specified relationship or association with another character.
-
C.
appearsAsChildOfMainCharacters
Indicates that an entity is depicted or presented as the child of the story’s main characters.
-
D.
relatedCharacterContext
Indicates a contextual relationship between characters, such as roles, interactions, or situational connections that link them within a specific narrative or setting.
-
E.
relativeOfMainCharacter
Indicates that one entity is a family member or relative of the main character entity.
- 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_69f349ccc290819089d8e82698e53cb6 |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 2:01 a.m.