Triple

T18373109
Position Surface form Disambiguated ID Type / Status
Subject Ray Campbell E446236 entity
Predicate parentOf P120 FINISHED
Object Tamera Campbell NE NERFINISHED

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: Tamera Campbell | Statement: [Ray Campbell, parentOf, Tamera Campbell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tamera Campbell
Context triple: [Ray Campbell, parentOf, Tamera Campbell]
  • A. Tamera Campbell chosen
    Tamera Campbell is a fictional teenage character from the 1990s sitcom "Sister, Sister," known as one of the separated-at-birth twin sisters reunited in adolescence.
  • B. Christina Campbell
    Christina Campbell was the wife of Canadian politician and former Ontario premier George William Ross.
  • C. Nina Campbell
    Nina Campbell is a renowned British interior designer and businesswoman known for her elegant, classic-with-a-twist decorating style and successful home furnishings brand.
  • D. Deandra Reynolds
    Deandra Reynolds is a main character on the TV sitcom "It's Always Sunny in Philadelphia," known for her delusional aspirations, abrasive personality, and constant mistreatment by her friends.
  • E. Tasha McCauley
    Tasha McCauley is an American robotics engineer and tech entrepreneur known for co-founding the robotics company Fellow Robots and for her work at the intersection of technology and innovation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e517561edc8190b5d2834707ab662b completed April 19, 2026, 5:56 p.m.
Created at: April 10, 2026, 10:45 a.m.