Triple

T7693873
Position Surface form Disambiguated ID Type / Status
Subject Sarah Michelle Gellar E174319 entity
Predicate role P268 FINISHED
Object Daphne Blake E318070 NE FINISHED

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: Daphne Blake | Statement: [Sarah Michelle Gellar, role, Daphne Blake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daphne Blake
Context triple: [Sarah Michelle Gellar, role, Daphne Blake]
  • A. Daphne Blake chosen
    Daphne Blake is a fashionable and resourceful member of the Mystery Inc. gang in the Scooby-Doo franchise, often portrayed as a brave sleuth who evolves from damsel in distress to skilled fighter and investigator.
  • B. Iris Taylor
    Iris Taylor is known as the spouse of influential computer scientist and Internet pioneer Robert W. Taylor.
  • C. Gwen Tennyson
    Gwen Tennyson is a main character in the "Ben 10" animated franchise, known as Ben's intelligent and magically gifted cousin who often serves as the team's strategist and voice of reason.
  • D. Tanee McCall
    Tanee McCall is an American actress and professional dancer known for her roles in film and television, including action and dance-focused projects.
  • E. Oaklee Pendergast
    Oaklee Pendergast is a British child actor best known for his role in the disaster drama film "The Impossible."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c6995966348190939e6c37ba272c06 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702459f988190bf7087bf51d5317f completed March 27, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8aca5f3388190b25e70caa364d712 completed March 29, 2026, 4:37 a.m.
Created at: March 27, 2026, 4:02 p.m.