Triple

T14300660
Position Surface form Disambiguated ID Type / Status
Subject Peter Purves E354552 entity
Predicate portrayedCharacter P1668 FINISHED
Object Steven Taylor E354551 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: Steven Taylor | Statement: [Peter Purves, portrayedCharacter, Steven Taylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steven Taylor
Context triple: [Peter Purves, portrayedCharacter, Steven Taylor]
  • A. Steven Taylor chosen
    Steven Taylor is a companion of the First Doctor in the classic British science fiction television series Doctor Who.
  • B. Alex Taylor
    Alex Taylor is a member of the Taylor family and the sibling of renowned singer-songwriter James Taylor.
  • C. Lee Humphrey
    Lee Humphrey is an American former college basketball guard best known as a sharpshooting three-point specialist for the University of Florida's back-to-back national championship teams in the mid-2000s.
  • D. Douglas Shearer
    Douglas Shearer was a pioneering Canadian-American sound engineer and special effects designer in Hollywood, renowned for his groundbreaking work at MGM and multiple Academy Awards.
  • E. Ian Breakwell
    Ian Breakwell was a British artist and diarist known for his observational writings, experimental films, and conceptual artworks that documented everyday life.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de717e246c819083e67ac2b3b77881 completed April 14, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bb9947481909cd16aa1d719fbe5 completed May 8, 2026, 3:42 a.m.
Created at: April 10, 2026, 1:11 a.m.