Triple

T3225487
Position Surface form Disambiguated ID Type / Status
Subject John Mason E67610 entity
Predicate name P16 FINISHED
Object John Mason E67610 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 Mason | Statement: [John Mason, name, John Mason]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Mason
Context triple: [John Mason, name, John Mason]
  • A. John Mason chosen
    John Mason was a 17th-century English colonial military leader in New England, best known for his pivotal and controversial role in the Pequot War.
  • B. John Marsh
    John Marsh was the husband of American novelist Margaret Mitchell, best known for supporting her during the creation of "Gone with the Wind."
  • C. John Norton
    John Norton was a Mohawk war chief and British military leader who played a key role in the War of 1812, particularly in defending Upper Canada against American invasion.
  • D. Nathaniel Parker
    Nathaniel Parker is an English actor known for his work in film, television, and theatre, including roles in adaptations of classic literature and popular detective dramas.
  • E. Philip Woodruff
    Philip Woodruff was the pen name of British civil servant Philip Mason, best known for his influential writings on the British Raj and the Indian Civil Service.
  • 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_69ad858c61888190a31196310d9b30b5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adae1c51a48190b4a395650528b5d8 completed March 8, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69b27726f76c819092a199ae07a7e688 completed March 12, 2026, 8:19 a.m.
Created at: March 8, 2026, 3:08 p.m.