Triple

T5012310
Position Surface form Disambiguated ID Type / Status
Subject Clarence Darrow E112652 entity
Predicate spouse P13 FINISHED
Object Jessie Ohl E112652 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: Jessie Ohl | Statement: [Clarence Darrow, spouse, Jessie Ohl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jessie Ohl
Context triple: [Clarence Darrow, spouse, Jessie Ohl]
  • A. Jessie Ohl chosen
    Jessie Ohl was the first wife of famed American lawyer and civil libertarian Clarence Darrow.
  • B. Jessie Robins
    Jessie Robins was a British character actress best known for her supporting role in the Beatles' 1967 film "Magical Mystery Tour."
  • C. Jessie Ashley
    Jessie Ashley was an early 20th-century American feminist, labor lawyer, and suffrage activist known for her work advancing women’s rights and social justice.
  • D. Jessie Elster
    Jessie Elster is a central fictional character in Don DeLillo’s novel "Point Omega," around whom key elements of the story’s mystery and psychological tension revolve.
  • E. Jessie Alice Tandy
    Jessie Alice Tandy, better known as Jessica Tandy, was an acclaimed British-American stage and film actress renowned for her long, distinguished career and her Academy Award–winning performance in "Driving Miss Daisy."
  • 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_69bd4434acb8819086679dbeccc2fe54 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd730f12a481908a27c15dc73987c6 completed March 20, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69be926e5ef481909df3a4b9d793300a completed March 21, 2026, 12:43 p.m.
Created at: March 20, 2026, 1:35 p.m.