Triple

T5242399
Position Surface form Disambiguated ID Type / Status
Subject Janet Jones E118374 entity
Predicate name P16 FINISHED
Object Janet Jones E118374 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: Janet Jones | Statement: [Janet Jones, name, Janet Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Janet Jones
Context triple: [Janet Jones, name, Janet Jones]
  • A. Janet Jones chosen
    Janet Jones is an American actress and former model best known for her film and television roles in the 1980s and 1990s and for being married to hockey legend Wayne Gretzky.
  • B. Janet Shearon
    Janet Shearon was the first wife of astronaut Neil Armstrong, with whom she shared much of his early aviation and NASA career before their divorce.
  • C. Renee Jones
    Renee Jones is the wife of bestselling American legal-thriller author John Grisham.
  • D. Francine Jones
    Francine Jones is a recurring character in the Doctor Who television series, best known as the mother of companion Martha Jones and for her involvement in the events surrounding the Master’s takeover of Earth.
  • E. Anne Wimbush
    Anne Wimbush is a fictional character in Aldous Huxley’s satirical novel "Crome Yellow."
  • 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_69bd4467db0881909b3b0982df32cc8f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b4c6fa8819099442b1b110e51fb completed March 20, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef82b42308190b9e3e0e113d8093b completed March 21, 2026, 7:57 p.m.
Created at: March 20, 2026, 1:49 p.m.