Triple

T1369383
Position Surface form Disambiguated ID Type / Status
Subject George Jones E30076 entity
Predicate familyName P18 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: [George Jones, familyName, Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jones
Context triple: [George Jones, familyName, 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 traditionally regarded as the author of the New Testament’s Book of Revelation, a prophetic and apocalyptic text in Christian scripture.
  • E. John
    John is the given name of John Perry Barlow, the American poet, essayist, and co-founder of the Electronic Frontier Foundation known for his advocacy of digital rights.
  • 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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2d60fdc8190a9954b74ca2b2541 completed March 1, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69acde1a576c81909379c2c0e350cd12 completed March 8, 2026, 2:25 a.m.
Created at: March 1, 2026, 7:57 p.m.