Triple

T14622111
Position Surface form Disambiguated ID Type / Status
Subject Carol Hathaway E343247 entity
Predicate hasColleagueRelationshipWith P107898 FINISHED
Object Peter Benton E390797 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: Peter Benton | Statement: [Carol Hathaway, hasColleagueRelationshipWith, Peter Benton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Benton
Context triple: [Carol Hathaway, hasColleagueRelationshipWith, Peter Benton]
  • A. Peter Benton chosen
    Peter Benton is a driven and often intense trauma surgeon from the television series "ER," known for his surgical skill and complex personal relationships with colleagues.
  • B. John Benton
    John Benton is a fictional UNIT sergeant and recurring supporting character from the classic British science fiction television series "Doctor Who."
  • C. Jerome Benton
    Jerome Benton is an American musician, actor, and comedian best known for his work with Prince and as a member of the funk band The Time.
  • D. Sam Burrows
    Sam Burrows is best known as the husband of English singer-songwriter and podcaster Jessie Ware.
  • E. Paul Kernaghan
    Paul Kernaghan is a British public official and former senior police officer who has served as the House of Lords Commissioner for Standards, overseeing investigations into members’ conduct.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb466a61c81908a110d40fb959b6f completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b40633481909882645f73d3e2c6 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:25 a.m.