Triple

T7965265
Position Surface form Disambiguated ID Type / Status
Subject Aylott and Jones E185185 entity
Predicate hasNameComponent P24447 FINISHED
Object Jones E46350 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: Jones | Statement: [Aylott and Jones, hasNameComponent, Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jones
Context triple: [Aylott and Jones, hasNameComponent, Jones]
  • A. Jones chosen
    Jones is a common English-language surname borne by numerous notable individuals across fields such as entertainment, sports, politics, and science.
  • B. John
    John is the given name of the English architect and dramatist John Vanbrugh, known for designing Blenheim Palace and Castle Howard.
  • C. John
    John is the given name of the 19th-century American Quaker poet and abolitionist John Greenleaf Whittier.
  • D. John
    John is the given name of John Marshall Clemens, the father of American author Mark Twain (Samuel Langhorne Clemens).
  • E. John
    John is the given name of Scottish professional footballer John McGinn, a midfielder known for playing for Aston Villa and the Scotland national team.
  • 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_69ca8297699481909b75a405f01e03af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ba0da588190853dda68bba0755a completed March 31, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe09c23388190baf86dcd7df60248 completed March 31, 2026, 2:56 p.m.
Created at: March 30, 2026, 5:12 p.m.