Triple

T15987692
Position Surface form Disambiguated ID Type / Status
Subject Luke and Laura wedding E387738 entity
Predicate hasCharacter P2308 FINISHED
Object Laura Webber E387731 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: Laura Webber | Statement: [Luke and Laura wedding, hasCharacter, Laura Webber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laura Webber
Context triple: [Luke and Laura wedding, hasCharacter, Laura Webber]
  • A. Laura Webber chosen
    Laura Webber is a long-running, central character on the American soap opera "General Hospital," known for her dramatic storylines and iconic status in daytime television.
  • B. Mariette Larkin
    Mariette Larkin is the charming, free-spirited eldest daughter of the Larkin family in H.E. Bates’s rural English comedy series "The Darling Buds of May."
  • C. Lauren Cassidy
    Lauren Cassidy is a fictional character from the television series "Judging Amy," known as the daughter of the main character Amy Gray and granddaughter of Maxine Gray.
  • D. Laura Dalton
    Laura Dalton is the central protagonist of the British sitcom "A Fine Romance," around whose romantic and personal life the series revolves.
  • E. Elizabeth Layton
    Elizabeth Layton is Winston Churchill’s young personal secretary and typist, depicted as a close and observant aide during the early years of World War II.
  • 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_69fff293c2248190993d5d74eaf626bc completed May 10, 2026, 2:50 a.m.
Created at: April 10, 2026, 4:54 a.m.