Triple

T15241445
Position Surface form Disambiguated ID Type / Status
Subject Nicola Rescigno E364263 entity
Predicate coFounderWith P2835 FINISHED
Object Carol Fox E364262 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: Carol Fox | Statement: [Nicola Rescigno, coFounderWith, Carol Fox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carol Fox
Context triple: [Nicola Rescigno, coFounderWith, Carol Fox]
  • A. Carol Fox chosen
    Carol Fox was an influential American arts administrator best known for transforming the Lyric Opera of Chicago into a major international opera company.
  • B. Julie Fudge
    Julie Fudge is the daughter of legendary American country singer Patsy Cline and has been involved in preserving and promoting her mother's musical legacy.
  • C. Felicity Kennett
    Felicity Kennett is an Australian public figure best known as the wife of former Victorian Premier Jeff Kennett and for her involvement in community and charitable activities.
  • D. Michelle Mallon
    Michelle Mallon is a loud, rebellious, and hilariously outspoken teenager in the sitcom "Derry Girls," known for her wild ideas and unapologetic attitude.
  • E. Christine Woods
    Christine Woods is an American actress known for her roles in television series such as "FlashForward" and "Hello Ladies," as well as various film and stage appearances.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007dcc33081908545ea1a1d2c19fe completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5f184d481909eb4294ee3648226 completed May 9, 2026, 7:44 a.m.
Created at: April 10, 2026, 3:13 a.m.