Triple

T16709780
Position Surface form Disambiguated ID Type / Status
Subject Nana Bryant E406074 entity
Predicate name P16 FINISHED
Object Nana Bryant E406074 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: Nana Bryant | Statement: [Nana Bryant, name, Nana Bryant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nana Bryant
Context triple: [Nana Bryant, name, Nana Bryant]
  • A. Nana Bryant chosen
    Nana Bryant was an American character actress known for her numerous supporting roles in Hollywood films and early television during the 1930s and 1940s.
  • B. Nana Norcross
    Nana Norcross is a character in the novel "Sleeping Beauties," co-written by Stephen King and Owen King, who appears within the story’s ensemble cast in a world where women fall into a mysterious sleep.
  • C. Adora Jackson
    Adora Jackson is the daughter of American actor and musician Jonathan Jackson.
  • D. Felicia Douglass
    Felicia Douglass is an American singer and multi-instrumentalist known for her work in indie and experimental pop projects, including her tenure with Dirty Projectors and the band Ava Luna.
  • E. Leola Brown
    Leola Brown was the wife of Oliver Brown, the named plaintiff in the landmark U.S. Supreme Court school desegregation case Brown v. Board of Education.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3865186b48190bb45a761f5cf1a83 completed April 18, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d3adef081908692a4a86d7a0779 completed May 10, 2026, 2:59 p.m.
Created at: April 10, 2026, 5:20 a.m.