Triple

T34630459
Position Surface form Disambiguated ID Type / Status
Subject Teddy Walker E889264 entity
Predicate teacherInStory P146093 FINISHED
Object Carrie 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: Carrie | Statement: [Teddy Walker, teacherInStory, Carrie]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: teacherInStory
Context triple: [Teddy Walker, teacherInStory, Carrie]
  • A. teacherInScene
    Indicates that an entity is acting in the role of a teacher within a particular scene or context.
  • B. teacherInText chosen
    Indicates that an entity functions as a teacher within the context or narrative of a given text.
  • C. teacherOrInfluence
    Indicates that one entity serves as a teacher to, or has a significant influence on the development, behavior, or thinking of, another entity.
  • D. didacticCharacter
    Indicates that one entity serves a teaching or instructional role toward another, conveying guidance, lessons, or moral instruction.
  • E. creatorInStory
    Indicates that one entity is the creator (e.g., author, originator, or maker) of another entity within the context of a specific story or narrative.
  • 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_69f349d64a388190a013cfa9bd33fad7 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f728a345488190bd7e6751b09ac591 completed May 3, 2026, 10:51 a.m.
PD Predicate disambiguation batch_69f7283ef2608190a7a85d7e7f5332c0 completed May 3, 2026, 10:49 a.m.
Created at: May 1, 2026, 2:04 a.m.