Triple

T9096601
Position Surface form Disambiguated ID Type / Status
Subject Ja'net DuBois E218038 entity
Predicate appearedInTVSeries P795 FINISHED
Object Good Times E31755 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: Good Times | Statement: [Ja'net DuBois, appearedInTVSeries, Good Times]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Good Times
Context triple: [Ja'net DuBois, appearedInTVSeries, Good Times]
  • A. Good Times chosen
    Good Times is a 1970s American sitcom that follows the struggles and resilience of a Black family living in a Chicago housing project, known for its social commentary and memorable characters.
  • B. Good Times
    Good Times is a hip hop track by producer and rapper Swizz Beatz, recognized for its energetic beat and club-oriented sound.
  • C. Good Times
    Good Times is a 1979 disco song by the American band Chic, widely regarded as one of the most influential tracks in dance and pop music history.
  • D. For the Good Times
    For the Good Times is a classic country song written by Kris Kristofferson that became widely popular through Ray Price’s hit 1970 recording.
  • E. The Good Times
    The Good Times is a memoir by American writer and humorist Russell Baker that recounts his experiences as a journalist and columnist during the mid-20th century.
  • 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_69ca83d9844081908e561e367fda6d45 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc96b7d0d48190a3b15f35bef087e3 completed April 1, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0479a58c48190acd4a4af21aa01c3 completed April 3, 2026, 11:04 p.m.
Created at: March 30, 2026, 7:15 p.m.