Triple

T2151442
Position Surface form Disambiguated ID Type / Status
Subject New York World E47188 entity
Predicate employed P7 FINISHED
Object Nellie Bly E35843 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: Nellie Bly | Statement: [New York World, employed, Nellie Bly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nellie Bly
Context triple: [New York World, employed, Nellie Bly]
  • A. Nellie Bly chosen
    Nellie Bly was a pioneering American journalist and investigative reporter famed for her undercover exposés and record-setting trip around the world in 72 days.
  • B. Ellen Gleason
    Ellen Gleason is a member of the Gleason family, related to pioneering American engineer and businesswoman Kate Gleason.
  • C. Blanche Sewell
    Blanche Sewell was an American film editor best known for her work on classic Hollywood productions, including the 1939 musical fantasy film "The Wizard of Oz."
  • D. Briton Hadden
    Briton Hadden was an American journalist and co-founder of Time magazine, instrumental in shaping modern news reporting and magazine journalism.
  • E. Sue Snell
    Sue Snell is a remorseful high school student in Stephen King’s novel "Carrie," whose attempt to atone for bullying the title character inadvertently contributes to the story’s tragic climax.
  • 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_69a88a1933e0819094f18426ed74180f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe4747a0819080e2234f3ea8995f completed March 7, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5d940bec8190998ef88ed44e5811 completed March 9, 2026, 5:41 a.m.
Created at: March 4, 2026, 7:44 p.m.