Triple

T13386345
Position Surface form Disambiguated ID Type / Status
Subject Helen Gurley Brown E319454 entity
Predicate spouse P13 FINISHED
Object David Brown E81858 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: David Brown | Statement: [Helen Gurley Brown, spouse, David Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: David Brown
Context triple: [Helen Gurley Brown, spouse, David Brown]
  • A. David Brown chosen
    David Brown was an American film producer best known for co-producing blockbuster hits such as "Jaws" and "The Sting."
  • B. David Brown
    David Brown was an American bassist best known for his work with the Latin rock band Santana during their classic late-1960s and early-1970s period.
  • C. David Brown
    David Brown is a film producer and entrepreneur best known for co-founding the animation company Blue Sky Studios, which created popular computer-animated films such as the Ice Age series.
  • D. David Brown
    David Brown was a British industrialist and owner of Aston Martin whose initials were used to designate the company’s iconic “DB” series of sports cars.
  • E. Michael Henry Brown
    Michael Henry Brown is a screenwriter best known for his work on the crime thriller film "In Too Deep."
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadce96d1881909957fdd068a7f55d completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7268f9a908190843481dd313f5a11 completed May 3, 2026, 10:42 a.m.
Created at: April 9, 2026, 9:34 p.m.