Triple

T15987695
Position Surface form Disambiguated ID Type / Status
Subject Luke and Laura wedding E387738 entity
Predicate hasCharacter P2308 FINISHED
Object Rick Webber E1187933 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: Rick Webber | Statement: [Luke and Laura wedding, hasCharacter, Rick Webber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rick Webber
Context triple: [Luke and Laura wedding, hasCharacter, Rick Webber]
  • A. Rick Webber chosen
    Rick Webber is a fictional character from the soap opera "General Hospital," known as a prominent member of the Webber family and for his complex personal relationships.
  • B. Richard Webb
    Richard Webb was an American film and television actor best known for his roles in mid-20th-century noir and adventure productions.
  • C. Tim Webber
    Tim Webber is a British visual effects supervisor renowned for his groundbreaking work in films such as "Gravity" and for his leadership in advancing VFX technology.
  • D. Jack Roper
    Jack Roper was an American heavyweight boxer of the 1930s and 1940s who also appeared in films, including the movie "Dangerous Passage."
  • E. Bernie Webber
    Bernie Webber was a United States Coast Guard boatswain’s mate renowned for leading one of the most daring small-boat sea rescues in American maritime history in 1952.
  • 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.