Triple

T17665809
Position Surface form Disambiguated ID Type / Status
Subject Brenda Walsh E440377 entity
Predicate hasFriend P8712 FINISHED
Object Kelly Taylor 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: Kelly Taylor | Statement: [Brenda Walsh, hasFriend, Kelly Taylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kelly Taylor
Context triple: [Brenda Walsh, hasFriend, Kelly Taylor]
  • A. Kelly Taylor chosen
    Kelly Taylor is a central fictional character from the television series "Beverly Hills, 90210," known for her complex personal struggles, evolving relationships, and prominent role in the show's depiction of affluent teen life.
  • B. Emily Taylor
    Emily Taylor is the central protagonist of the psychological thriller film "Side Effects," around whom the story’s exploration of medication, mental health, and deception revolves.
  • C. Amy Taylor
    Amy Taylor is the central protagonist of the story "Breakdown," around whom the plot’s key events and character developments revolve.
  • D. Tamara Taylor
    Tamara Taylor is a Canadian actress best known for her role as Dr. Camille Saroyan on the television series "Bones."
  • E. Lisa Taylor
    Lisa Taylor is known as the wife of American politician George Wallace, the former governor of Alabama.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46ea9d91c81908414ef38c7fb36a4 completed April 19, 2026, 5:56 a.m.
Created at: April 10, 2026, 9:56 a.m.