Triple

T8627245
Position Surface form Disambiguated ID Type / Status
Subject John Ridge E204308 entity
Predicate opposedBy P437 FINISHED
Object John Ross E193044 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 Ross | Statement: [John Ridge, opposedBy, John Ross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Ross
Context triple: [John Ridge, opposedBy, John Ross]
  • A. John Ross chosen
    John Ross was a prominent 19th-century Cherokee chief who led his people through the era of forced removal known as the Trail of Tears.
  • B. John Ross
    John Ross was the first husband of Betsy Ross, traditionally credited with helping her establish an upholstery business in Philadelphia before his early death during the American Revolutionary era.
  • C. John Ross
    John Ross was a 19th-century Scottish naval officer and Arctic explorer noted for his early expeditions in search of the Northwest Passage.
  • D. Frank Ross
    Frank Ross was an American film producer known for his work on major mid-20th-century Hollywood productions.
  • E. 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."
  • 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_69ca834a4ea0819094970dceb9e389f3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc472ccc0c81908e0708c94a7cbe65 completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebbf918f08190a9b0469eae8e0e0d completed April 2, 2026, 6:56 p.m.
Created at: March 30, 2026, 6:27 p.m.