Triple

T15987696
Position Surface form Disambiguated ID Type / Status
Subject Luke and Laura wedding E387738 entity
Predicate hasCharacter P2308 FINISHED
Object Lesley Webber E1187932 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: Lesley Webber | Statement: [Luke and Laura wedding, hasCharacter, Lesley Webber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lesley Webber
Context triple: [Luke and Laura wedding, hasCharacter, Lesley Webber]
  • A. Lesley Webber chosen
    Lesley Webber is a long-running fictional character on the soap opera "General Hospital," known as the mother of Laura Webber and a central figure in several of the show's major family storylines.
  • B. Cheryl Edwards
    Cheryl Edwards is a screenwriter best known for her work on the film "In the Mix."
  • C. Lesley Barber
    Lesley Barber is a Canadian composer known for her evocative film scores, including the critically acclaimed music for "Manchester by the Sea."
  • D. Elaine Sterling
    Elaine Sterling, better known by her stage name Sara Shane, was an American film and television actress active primarily in the 1950s and 1960s.
  • E. Lesley Gibb
    Lesley Gibb is a member of the Gibb family, best known as the sister of the Bee Gees—Barry, Robin, and Maurice Gibb.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1575993948190a05d60fc9d0c05fa completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf1cb1388190b1ebccc6705e5974 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:54 a.m.