Triple

T15379032
Position Surface form Disambiguated ID Type / Status
Subject Edie Parker E367749 entity
Predicate associatedWith P37 FINISHED
Object Joan Vollmer E309085 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: Joan Vollmer | Statement: [Edie Parker, associatedWith, Joan Vollmer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joan Vollmer
Context triple: [Edie Parker, associatedWith, Joan Vollmer]
  • A. Joan Vollmer chosen
    Joan Vollmer was a central figure in the early Beat Generation scene in New York, known for her sharp intellect, influence on writers like William S. Burroughs and Jack Kerouac, and her tragic death in 1951.
  • B. Mary Ricketts
    Mary Ricketts was a British noblewoman best known as the wife of William Carnegie, 7th Earl of Northesk, a distinguished Royal Navy officer and peer.
  • C. Gail Stevens
    Gail Stevens is a British casting director known for her work on numerous acclaimed film and television productions.
  • D. Frances Witz Hull
    Frances Witz Hull was the wife of longtime U.S. Secretary of State and Nobel Peace Prize laureate Cordell Hull.
  • E. Mary Ann Deming
    Mary Ann Deming was the wife of American railroad executive and "Big Four" tycoon Charles Crocker, associated with the development of the Central Pacific Railroad.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e6044488190b0499db109f7f821 completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b56dd1c81909a3933330e85fe0e completed May 9, 2026, 10:24 a.m.
Created at: April 10, 2026, 3:19 a.m.