Triple

T22967580
Position Surface form Disambiguated ID Type / Status
Subject Rebecca King-Crews E571090 entity
Predicate name P16 FINISHED
Object Rebecca King-Crews 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: Rebecca King-Crews | Statement: [Rebecca King-Crews, name, Rebecca King-Crews]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rebecca King-Crews
Context triple: [Rebecca King-Crews, name, Rebecca King-Crews]
  • A. Rebecca King-Crews chosen
    Rebecca King-Crews is an American actress, singer, and executive producer best known for her appearances alongside her husband Terry Crews on reality television and for her work in entertainment and music under the stage name Regina Madre.
  • B. Rebecca Cottrell
    Rebecca Cottrell is the wife of Stephen Cottrell, the Archbishop of York in the Church of England.
  • C. Jessica King
    Jessica King is a character in the supernatural thriller film "The Gift," involved in the mysterious events surrounding a small-town community.
  • D. Rebecca Callard
    Rebecca Callard is an English actress known for her work in British television dramas and stage productions.
  • E. Melanie Nicholls-King
    Melanie Nicholls-King is a Canadian actress known for her work in television and film, including roles on series such as "The Wire" and "Degrassi: The Next Generation."
  • 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_69e245b2c6548190a0e4c7f2f7df2d48 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1822f57088190addc6857063b4cca completed April 29, 2026, 3:59 a.m.
Created at: April 17, 2026, 3:48 p.m.