Triple

T10083862
Position Surface form Disambiguated ID Type / Status
Subject Roger Perron E213969 entity
Predicate hasChild P369 FINISHED
Object Cindy Perron E266037 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: Cindy Perron | Statement: [Roger Perron, hasChild, Cindy Perron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cindy Perron
Context triple: [Roger Perron, hasChild, Cindy Perron]
  • A. Carolyn Perron chosen
    Carolyn Perron is a mother and central figure in the horror film "The Conjuring," whose family experiences terrifying paranormal events in their Rhode Island farmhouse.
  • B. Cindi Knight
    Cindi Knight is an American actress best known as the third wife of television icon Andy Griffith.
  • C. Joyce Emrick
    Joyce Emrick is the wife of renowned American sportscaster Mike "Doc" Emrick and is known primarily for her long-standing support of his broadcasting career.
  • D. Cindy Holland
    Cindy Holland is a television executive best known for her influential role in developing and overseeing original content at Netflix.
  • E. Michelle Akers
    Michelle Akers is a legendary American soccer player widely regarded as one of the greatest women’s footballers of all time and a key figure in the early dominance of the U.S. women’s national team.
  • 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_69ca839bf730819086900c323c9b8c95 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd04352d081908f676444cd2d2578 completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b675f4b08190bd8285f210191b93 completed April 5, 2026, 7:22 p.m.
Created at: March 30, 2026, 9 p.m.