Triple

T11031536
Position Surface form Disambiguated ID Type / Status
Subject Jon Jones E260768 entity
Predicate hasSibling P363 FINISHED
Object Arthur Jones E744895 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: Arthur Jones | Statement: [Jon Jones, hasSibling, Arthur Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arthur Jones
Context triple: [Jon Jones, hasSibling, Arthur Jones]
  • A. Arthur Jones chosen
    Arthur Jones is a former American football defensive lineman who played in the NFL, notably for the Baltimore Ravens, with whom he won Super Bowl XLVII.
  • B. Ian Jones
    Ian Jones is an Australian screenwriter best known for co-writing the acclaimed Indigenous-themed film "Ten Canoes."
  • C. Richard Jones
    Richard Jones was an English Baroque composer and violinist active in the early 18th century, known for his theatrical and instrumental music.
  • D. 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."
  • E. Alexander Jones
    Alexander Jones was a Catholic biblical scholar and priest best known for overseeing and editing the English translation of the Jerusalem Bible in the 1960s.
  • 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797e58aec8190bb8ffdc71c0614d2 completed April 9, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3a9a6db688190a740b787448d97b2 completed April 18, 2026, 3:56 p.m.
Created at: April 8, 2026, 9:25 p.m.