Triple

T17878157
Position Surface form Disambiguated ID Type / Status
Subject Sophie Ellis-Bextor E447010 entity
Predicate spouse P13 FINISHED
Object Richard Jones 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: Richard Jones | Statement: [Sophie Ellis-Bextor, spouse, Richard Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Jones
Context triple: [Sophie Ellis-Bextor, spouse, Richard Jones]
  • A. Richard Jones
    Richard Jones was a 16th-century London printer and publisher known for issuing early editions of important Elizabethan works, including Christopher Marlowe’s "Tamburlaine."
  • B. Richard Jones
    Richard Jones was an English Baroque composer and violinist active in the early 18th century, known for his theatrical and instrumental music.
  • C. Richard Jones chosen
    Richard Jones is the longtime bassist for the Welsh rock band Stereophonics.
  • D. Richard Jones
    Richard Jones is a Python software developer and community contributor known for his work on Python packaging standards and tools.
  • E. Stan Jones
    Stan Jones was an American songwriter and actor best known for writing the classic Western song "Ghost Riders in the Sky."
  • 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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49c0c46108190b8edef2572b5ba90 completed April 19, 2026, 9:10 a.m.
Created at: April 10, 2026, 10:18 a.m.