Triple

T14600590
Position Surface form Disambiguated ID Type / Status
Subject Outbreak E342692 entity
Predicate hasCharacter P2308 FINISHED
Object Sam Daniels E194689 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: Sam Daniels | Statement: [Outbreak, hasCharacter, Sam Daniels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sam Daniels
Context triple: [Outbreak, hasCharacter, Sam Daniels]
  • A. Mel Daniels
    Mel Daniels was an American professional basketball center best known as a dominant force in the ABA, where he won multiple MVP awards and championships with the Indiana Pacers.
  • B. 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."
  • C. William Sadler chosen
    William Sadler is an American character actor known for his versatile roles in film and television, including memorable performances in dramas, comedies, and genre films.
  • D. Clifton Daniel
    Clifton Daniel was an American newspaper editor and managing editor of The New York Times, known also as the son-in-law of U.S. President Harry S. Truman.
  • E. Tony Darrow
    Tony Darrow is an American actor best known for his supporting roles as mobsters in films and television, particularly in Martin Scorsese’s crime dramas.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb438748081908020ce04b869866a completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94cc9fbc819090ae4efe9bc618aa completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:25 a.m.