Triple

T4826327
Position Surface form Disambiguated ID Type / Status
Subject John Wilkes E107833 entity
Predicate name P16 FINISHED
Object John Wilkes E107833 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: John Wilkes | Statement: [John Wilkes, name, John Wilkes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Wilkes
Context triple: [John Wilkes, name, John Wilkes]
  • A. John Wilkes chosen
    John Wilkes was an 18th-century English radical politician, journalist, and champion of civil liberties who became a symbol of the fight for parliamentary reform.
  • B. Thomas Tickell
    Thomas Tickell was an early 18th-century English poet and translator associated with Joseph Addison and the Whig literary circle.
  • C. Thomas Burke
    Thomas Burke was an American politician who served as the third Governor of North Carolina during the early years of the United States.
  • D. Thomas Burke
    Thomas Burke was a British author best known for his early 20th-century stories set in London’s East End, including the tale that inspired the film "Broken Blossoms."
  • E. Thomas Burke
    Thomas Burke was an American sprinter who became the first Olympic champion in both the 100-meter and 400-meter races at the modern Games.
  • 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_69bd43fac8188190803f0327190621e4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6caf22308190a2048ec6acfa5af2 completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4dcd3ecc8190a5223f00344019ff completed March 21, 2026, 7:50 a.m.
Created at: March 20, 2026, 1:24 p.m.