Triple

T7659234
Position Surface form Disambiguated ID Type / Status
Subject Allan Manings E173460 entity
Predicate notableWork P4 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: [Allan Manings, notableWork, Good Times]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Good Times
Context triple: [Allan Manings, notableWork, Good Times]
  • A. Good Times
    Good Times is a hip hop track by producer and rapper Swizz Beatz, recognized for its energetic beat and club-oriented sound.
  • B. 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.
  • 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_69c69955517c819085bc715b96d304d2 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701a32f588190a7a923e8ce43f727 completed March 27, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89b0d345081909a1d4475fa3876f5 completed March 29, 2026, 3:22 a.m.
Created at: March 27, 2026, 3:59 p.m.