Triple

T9115159
Position Surface form Disambiguated ID Type / Status
Subject Space Seed E218702 entity
Predicate directedBy P7373 FINISHED
Object Marc Daniels E327460 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: Marc Daniels | Statement: [Space Seed, directedBy, Marc Daniels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marc Daniels
Context triple: [Space Seed, directedBy, Marc Daniels]
  • A. Marc Daniels chosen
    Marc Daniels was an American television director best known for his work on the original Star Trek series and numerous classic TV shows of the 1950s–1970s.
  • B. Martin Orford
    Martin Orford is an English keyboardist and composer best known as a founding member of the progressive rock band IQ and for his work in the neo-progressive rock scene.
  • C. Don Rhymer
    Don Rhymer was an American screenwriter known for his work on family-oriented films and animated features, including contributions to the Rio franchise.
  • D. Stan Daniels
    Stan Daniels was a Canadian-born television writer, producer, and director best known for his work on classic sitcoms such as "The Mary Tyler Moore Show" and "Taxi."
  • E. Bruce Daniels
    Bruce Daniels is a computer scientist and game developer best known for co-founding the pioneering interactive fiction company Infocom.
  • 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_69ca83dc94ac8190b9ef42684d36ff39 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8a1340881909dc791b825e87ef2 completed April 1, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0306837c0819099cd77925df0848d completed April 3, 2026, 9:26 p.m.
Created at: March 30, 2026, 7:16 p.m.