Triple

T10525052
Position Surface form Disambiguated ID Type / Status
Subject Paul Mooney E248277 entity
Predicate wroteFor P1996 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: [Paul Mooney, wroteFor, Good Times]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Good Times
Context triple: [Paul Mooney, wroteFor, 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 country song by Merle Haggard, released in the late 1960s during his influential Bakersfield sound era.
  • 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. Good Times
    Good Times is a hip hop track by producer and rapper Swizz Beatz, recognized for its energetic beat and club-oriented sound.
  • E. 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.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509f4020c8190b78c49da086df757 completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e26c4908190b77d73c11bee6119 completed April 10, 2026, 2:50 p.m.
Created at: April 6, 2026, 12:29 p.m.