Triple

T15272907
Position Surface form Disambiguated ID Type / Status
Subject Insignificance E365063 entity
Predicate hasPart P35 FINISHED
Object Good Times E995275 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: [Insignificance, hasPart, Good Times]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Good Times
Context triple: [Insignificance, hasPart, Good Times]
  • A. Good Times
    "Good Times" is a 1994 folk-rock song by American singer-songwriter Edie Brickell, known for its mellow groove and introspective lyrics.
  • B. Good Times chosen
    Good Times is a song featured on Edie Brickell's 1994 album "Picture Perfect Morning."
  • C. Good Times
    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.
  • 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. 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.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00950a9988190b67dfbc73b8bdbbc completed April 15, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee6069f488190b74793200e5698ff completed May 9, 2026, 7:45 a.m.
Created at: April 10, 2026, 3:14 a.m.