Triple

T7940304
Position Surface form Disambiguated ID Type / Status
Subject Dr. Emmett Brown E184371 entity
Predicate spouse P13 FINISHED
Object Clara Clayton Brown E233080 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: Clara Clayton Brown | Statement: [Dr. Emmett Brown, spouse, Clara Clayton Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clara Clayton Brown
Context triple: [Dr. Emmett Brown, spouse, Clara Clayton Brown]
  • A. Clara Clayton chosen
    Clara Clayton is a schoolteacher from the Old West and Doc Brown’s love interest in the film "Back to the Future Part III."
  • B. Clara Jane Bryant
    Clara Jane Bryant was an American philanthropist best known as the wife of industrialist and Ford Motor Company founder Henry Ford.
  • C. Clara B. Spence
    Clara B. Spence was an American educator and reformer best known for founding the prestigious Spence School for girls in New York City.
  • D. Willa Brown
    Willa Brown was a pioneering African American aviator, flight instructor, and civil rights advocate who became the first Black woman in the United States to earn both a pilot’s license and a commercial pilot’s license.
  • E. Fannie N. Smith
    Fannie N. Smith was the first wife of African American educator and leader Booker T. Washington, with whom she shared the early years of his rise to prominence.
  • 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_69ca8290c21c8190906a5ca6fe2b03c4 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b0ac8bc8190b4e4f79b15c316b3 completed March 31, 2026, 3:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5c0e868481908748d340244ea8ea completed March 31, 2026, 5:30 a.m.
Created at: March 30, 2026, 5:08 p.m.