Triple

T7230260
Position Surface form Disambiguated ID Type / Status
Subject Jungle Fever E154882 entity
Predicate starring P1507 FINISHED
Object Annabella Sciorra E310824 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: Annabella Sciorra | Statement: [Jungle Fever, starring, Annabella Sciorra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annabella Sciorra
Context triple: [Jungle Fever, starring, Annabella Sciorra]
  • A. Annabella Sciorra chosen
    Annabella Sciorra is an American actress known for her work in film and television, including acclaimed roles in movies like "Jungle Fever" and the TV series "The Sopranos."
  • B. Téa Leoni
    Téa Leoni is an American actress and producer best known for her leading roles in film and television, including the political drama series "Madam Secretary."
  • C. Elizabeth Berkley
    Elizabeth Berkley is an American actress best known for her roles in the TV series "Saved by the Bell" and the film "Showgirls."
  • D. Anne McDonnell
    Anne McDonnell was an American socialite best known as the first wife of industrialist Henry Ford II.
  • E. Lesley Ann Warren
    Lesley Ann Warren is an American actress and singer known for her work in film, television, and musical theater, including prominent roles in 1960s musicals and later acclaimed performances in movies and TV series.
  • 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_69c68811dd1c8190ac460bb39e64e1f0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea0d9b6c8190a0b5f0ab8d5cca19 completed March 27, 2026, 8:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d388ac40819095698776c7b9878f completed March 28, 2026, 1:11 p.m.
Created at: March 27, 2026, 2:54 p.m.