Triple

T1408745
Position Surface form Disambiguated ID Type / Status
Subject Good Times E31755 entity
Predicate productionCompany P490 FINISHED
Object Tandem Productions E161489 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: Tandem Productions | Statement: [Good Times, productionCompany, Tandem Productions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tandem Productions
Context triple: [Good Times, productionCompany, Tandem Productions]
  • A. Tandem Productions chosen
    Tandem Productions was a television production company best known for creating influential American sitcoms in the 1970s, including the groundbreaking series "All in the Family."
  • B. Tig Productions
    Tig Productions is a film and television production company best known for producing the hit 1992 movie "The Bodyguard" starring Whitney Houston and Kevin Costner.
  • C. Ostar Productions
    Ostar Productions is a television production company best known for producing the crime drama series "Rizzoli & Isles."
  • D. Indelible Productions
    Indelible Productions is a film production company best known for its work on the thriller movie "Panic Room."
  • E. Pyramid Productions
    Pyramid Productions is a television production company best known for producing the game show "The $100,000 Pyramid."
  • 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_69a49918e1f88190ba610f9dc8114578 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3c10f44819085e1c4601423740d completed March 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad015a52a88190933e7337067e5364 completed March 8, 2026, 4:55 a.m.
Created at: March 1, 2026, 7:59 p.m.