Triple

T12458529
Position Surface form Disambiguated ID Type / Status
Subject Janet Leahy E297723 entity
Predicate notableWork P4 FINISHED
Object Newhart E978009 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: Newhart | Statement: [Janet Leahy, notableWork, Newhart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Newhart
Context triple: [Janet Leahy, notableWork, Newhart]
  • A. "Newhart" chosen
    "Newhart" is an American sitcom starring Bob Newhart as an innkeeper in rural Vermont, known for its ensemble cast and famously surreal series finale.
  • B. Bob Newhart
    Bob Newhart is an American stand-up comedian and actor renowned for his deadpan delivery and influential comedy albums and sitcoms, including "The Bob Newhart Show" and "Newhart."
  • C. The Bob Newhart Show
    The Bob Newhart Show is a classic 1970s American sitcom starring comedian Bob Newhart as a Chicago psychologist, known for its dry wit and ensemble cast.
  • D. Timothy Newhart
    Timothy Newhart is one of the children of American television personality and producer Ginny Newhart and comedian-actor Bob Newhart.
  • E. Barney Miller
    Barney Miller is a 1970s–80s American sitcom set in a New York City police precinct, known for its ensemble cast, character-driven humor, and realistic portrayal of urban policing.
  • 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_69d6ada270808190b1a2b2e7b02bb426 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94da46a588190bc888fafd6d1eb5d completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f1b0a3081909cf22970586755e9 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:56 p.m.