Triple

T14580701
Position Surface form Disambiguated ID Type / Status
Subject Raphael De Niro E342183 entity
Predicate relative P37 FINISHED
Object Diahnne Abbott E344796 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: Diahnne Abbott | Statement: [Raphael De Niro, relative, Diahnne Abbott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diahnne Abbott
Context triple: [Raphael De Niro, relative, Diahnne Abbott]
  • A. Diahnne Abbott chosen
    Diahnne Abbott is an American actress and singer known for her roles in films like "Taxi Driver" and "The King of Comedy."
  • B. Debralee Scott
    Debralee Scott was an American actress best known for her comedic roles on 1970s and 1980s television sitcoms and films.
  • C. Dawnn Lewis
    Dawnn Lewis is an American actress and singer best known for her role as Jaleesa Vinson-Taylor on the television sitcom "A Different World."
  • D. Andrea Barber
    Andrea Barber is an American actress best known for playing Kimmy Gibbler on the television sitcoms "Full House" and its sequel "Fuller House."
  • E. Nicolette Robinson
    Nicolette Robinson is an American actress and singer known for her work on television and Broadway, including starring in the musical "Waitress."
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f6f78c81908a30ecb4c025299d completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24a2fc048190b68d3267fe17471b completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:24 a.m.