Triple
T30841585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Framton Nuttel |
E785524
|
entity |
| Predicate | isRelatedToCharacter |
P37304
|
FINISHED |
| Object | Vera |
—
|
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: Vera | Statement: [Framton Nuttel, isRelatedToCharacter, Vera]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRelatedToCharacter Context triple: [Framton Nuttel, isRelatedToCharacter, Vera]
-
A.
refersToCharacter
Indicates that one entity makes reference to, mentions, or points to a specific character as its subject.
-
B.
relatedCharacter
chosen
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.
relationshipToCharacter
Indicates the specific type of personal, social, or narrative connection that one entity has to a given character.
-
E.
titleCharacterRelation
Indicates the relationship between a work’s title and a specific character it references or centers on.
- 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_69f224b850848190a4af4ccf8ddadcdf |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:45 p.m.