Triple

T22452120
Position Surface form Disambiguated ID Type / Status
Subject Nigel Sears E555018 entity
Predicate relative P37 FINISHED
Object Kim Sears 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: Kim Sears | Statement: [Nigel Sears, relative, Kim Sears]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kim Sears
Context triple: [Nigel Sears, relative, Kim Sears]
  • A. Kim Sears chosen
    Kim Sears is a British artist and the wife of professional tennis player Andy Murray, known for her presence at his matches and involvement in the tennis world.
  • B. Jim Sears
    Jim Sears is a pediatrician and television personality best known for co-hosting the medical talk show "The Doctors."
  • C. Eric Sears
    Eric Sears is a film editor known for his work on action and thriller movies, including the 2007 film "Shooter."
  • D. Joseph Sears
    Joseph Sears was an American businessman and real estate developer best known for creating the affluent planned suburb of Kenilworth, Illinois, in the late 19th century.
  • E. Peter Rinearson
    Peter Rinearson is an American journalist and author best known for co-authoring Bill Gates’s book "The Road Ahead" and for his Pulitzer Prize–winning feature writing.
  • 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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b4c63e88190aeedc326599edd18 completed April 29, 2026, 1:13 a.m.
Created at: April 16, 2026, 8:48 p.m.