Triple

T17399526
Position Surface form Disambiguated ID Type / Status
Subject Dharma & Greg E423049 entity
Predicate castMember P1668 FINISHED
Object Yeardley Smith 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: Yeardley Smith | Statement: [Dharma & Greg, castMember, Yeardley Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yeardley Smith
Context triple: [Dharma & Greg, castMember, Yeardley Smith]
  • A. Yeardley Smith chosen
    Yeardley Smith is an American actress and voice actress best known for voicing Lisa Simpson on the long-running animated television series "The Simpsons."
  • B. Natasha Henstridge
    Natasha Henstridge is a Canadian actress and former model best known for her breakout role as the alien-human hybrid Sil in the science fiction horror film "Species" and its sequels.
  • C. Laura Innes
    Laura Innes is an American actress and television director best known for her long-running role as Dr. Kerry Weaver on the medical drama series "ER."
  • D. Tiffani Thiessen
    Tiffani Thiessen is an American actress best known for her roles on the television series "Saved by the Bell" and "Beverly Hills, 90210."
  • E. Shannon Elizabeth
    Shannon Elizabeth is an American actress and former fashion model best known for her breakout role in the comedy film "American Pie."
  • 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43ac0596481908c400916d5c1b971 completed April 19, 2026, 2:15 a.m.
Created at: April 10, 2026, 5:45 a.m.