Triple

T13051568
Position Surface form Disambiguated ID Type / Status
Subject Marc Daniels E327460 entity
Predicate name P16 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: [Marc Daniels, name, Marc Daniels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marc Daniels
Context triple: [Marc Daniels, name, 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980b98fa081908cfa92116799e874 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbdcc3e881908d9a246558b1c20e completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:57 p.m.