Triple

T15987500
Position Surface form Disambiguated ID Type / Status
Subject Carly Corinthos E387734 entity
Predicate portrayedBy P1507 FINISHED
Object Sarah Brown E226854 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: Sarah Brown | Statement: [Carly Corinthos, portrayedBy, Sarah Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah Brown
Context triple: [Carly Corinthos, portrayedBy, Sarah Brown]
  • A. Sarah Brown
    Sarah Brown is the prim, idealistic Salvation Army missionary who becomes the romantic interest of gambler Sky Masterson in the classic musical "Guys and Dolls."
  • B. Sarah Brown
    Sarah Brown is a fictional character from the 1978 British sports drama film "International Velvet," which follows a young woman's journey in the world of competitive equestrian sports.
  • C. Sarah Brown
    Sarah Brown is a musician best known as a member of the Scottish rock band Simple Minds.
  • D. Sarah Brown chosen
    Sarah Brown is a British public relations executive and charity campaigner, best known as the wife of former UK Prime Minister Gordon Brown.
  • E. Sarah
    Sarah is the given name of Sarah P. Duke, the philanthropist and namesake of Duke University's Sarah P. Duke Gardens.
  • 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_69ffc3cfc8d08190a02abc90c889c8e1 completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:54 a.m.