Triple

T7769131
Position Surface form Disambiguated ID Type / Status
Subject Ralph Carter E179024 entity
Predicate partOf P40 FINISHED
Object Good Times cast 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 cast | Statement: [Ralph Carter, partOf, Good Times cast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Good Times cast
Context triple: [Ralph Carter, partOf, Good Times cast]
  • 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. Sanford and Son
    Sanford and Son is a classic 1970s American sitcom about a cantankerous junk dealer and his long-suffering son, renowned for its sharp humor and cultural impact.
  • 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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c704376dc08190890f5ebb9f259cfd completed March 27, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7e7818c8190920ea2bde6343968 completed March 29, 2026, 6:34 a.m.
Created at: March 27, 2026, 4:11 p.m.