Triple

T10680432
Position Surface form Disambiguated ID Type / Status
Subject Priscilla Bonner E251735 entity
Predicate name P16 FINISHED
Object Priscilla Bonner E251735 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: Priscilla Bonner | Statement: [Priscilla Bonner, name, Priscilla Bonner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Priscilla Bonner
Context triple: [Priscilla Bonner, name, Priscilla Bonner]
  • A. Priscilla Bonner chosen
    Priscilla Bonner was an American silent film actress known for her roles in the 1920s, appearing in dramas and comedies alongside major stars of the era.
  • B. Priscilla Mullins
    Priscilla Mullins was a Mayflower passenger and early Plymouth Colony settler, best known for her marriage to fellow colonist John Alden and her role in early American colonial history.
  • C. Priscilla Lloyd
    Priscilla Lloyd was the mother of Scottish bishop and educator Charles Wordsworth, connecting her to a prominent 19th-century ecclesiastical and academic family.
  • D. Priscilla Anne Mack
    Priscilla Anne Mack is the wife of former U.S. Senator Connie Mack III and a member of the prominent Mack political family.
  • E. Priscilla Nedd-Friendly
    Priscilla Nedd-Friendly is a film editor best known for her work on notable movies such as "A Soldier's Story."
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fcc1b8d4819082fde22db39d8b24 completed April 9, 2026, 1:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d98885abf88190b54ed9db779d3ff0 completed April 10, 2026, 11:32 p.m.
Created at: April 8, 2026, 9:10 p.m.