Triple

T13508007
Position Surface form Disambiguated ID Type / Status
Subject Tar Monster E321061 entity
Predicate antagonistOf P18963 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: [Tar Monster, antagonistOf, Daphne Blake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daphne Blake
Context triple: [Tar Monster, antagonistOf, 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. Daphne Acott
    Daphne Acott was the wife of British actor and theatre manager Alec Clunes.
  • C. Mia Pascoe
    Mia Pascoe is known as the wife of American Olympic alpine ski champion Ted Ligety.
  • D. Iris Taylor
    Iris Taylor is known as the spouse of influential computer scientist and Internet pioneer Robert W. Taylor.
  • E. Mabel Pines
    Mabel Pines is an energetic, optimistic, and quirky pre-teen girl from the animated series "Gravity Falls," known for her colorful sweaters, boundless enthusiasm, and close bond with her twin brother Dipper.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf85a74081909eb08751fc55ce8f completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f8239c481909faf5a9c403b55f2 completed May 3, 2026, 5:01 p.m.
Created at: April 9, 2026, 9:43 p.m.