Triple

T13744588
Position Surface form Disambiguated ID Type / Status
Subject Corinne Foxx E330179 entity
Predicate relative P37 FINISHED
Object Connie Kline E1073571 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: Connie Kline | Statement: [Corinne Foxx, relative, Connie Kline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Connie Kline
Context triple: [Corinne Foxx, relative, Connie Kline]
  • A. Connie Kline chosen
    Connie Kline is a former U.S. Air Force veteran best known as the mother of model and actress Corinne Foxx, daughter of actor Jamie Foxx.
  • B. Claire Fisher
    Claire Fisher is a rebellious, artistic youngest daughter in the Fisher family whose coming-of-age journey is central to the drama series "Six Feet Under."
  • C. Connie D'Amico
    Connie D'Amico is a recurring character on the animated TV show Family Guy, known as the popular yet mean-spirited girl at James Woods Regional High School.
  • D. Karen Kline
    Karen Kline is an American psychotherapist best known as the longtime spouse of Academy Award–winning actress Linda Hunt.
  • E. Leslie DeMeuse
    Leslie DeMeuse is an American documentary producer and filmmaker best known for her work in sports and adventure programming and for being married to Disney executive Roy E. Disney.
  • 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_69d81c573f288190aa2403d484fa3d49 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0211ba5481909fbd5b447e3d5a02 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69fcdeed4548819082038c5b88ccd212 completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:08 p.m.