Triple

T6965066
Position Surface form Disambiguated ID Type / Status
Subject The Host (2013 film) E161467 entity
Predicate starring P1507 FINISHED
Object Frances Fisher E235771 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: Frances Fisher | Statement: [The Host (2013 film), starring, Frances Fisher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frances Fisher
Context triple: [The Host (2013 film), starring, Frances Fisher]
  • A. Frances Fisher chosen
    Frances Fisher is an English-born American actress known for her versatile character roles in film and television, including her portrayal of Ruth DeWitt Bukater in Titanic.
  • B. Judith Ivey
    Judith Ivey is an American actress and director known for her Tony Award–winning stage performances and numerous roles in film and television.
  • C. Jane Alexander
    Jane Alexander is an acclaimed American actress and former chair of the National Endowment for the Arts, known for her extensive work in film, television, and theater.
  • D. Piper Laurie
    Piper Laurie was an acclaimed American actress known for her intense performances in films like "Carrie" and "The Hustler" and the TV series "Twin Peaks."
  • E. Lee Grant
    Lee Grant is an Academy Award–winning American actress and director known for her powerful film and television performances and later work as a documentarian.
  • 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db1049e0819097099a0e9d15f787 completed March 27, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81ea4f7f081909c94b7062c0d4dde completed March 28, 2026, 6:32 p.m.
Created at: March 27, 2026, 2:30 p.m.