Triple

T7516820
Position Surface form Disambiguated ID Type / Status
Subject The Fog E177665 entity
Predicate stars P1956 FINISHED
Object Jamie Lee Curtis E186111 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: Jamie Lee Curtis | Statement: [The Fog, stars, Jamie Lee Curtis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jamie Lee Curtis
Context triple: [The Fog, stars, Jamie Lee Curtis]
  • A. Jamie Lee Curtis chosen
    Jamie Lee Curtis is an American actress and author renowned for her versatile film career spanning horror classics like "Halloween" and acclaimed dramatic and comedic roles.
  • B. Dee Wallace
    Dee Wallace is an American actress best known for her role as the mother in the classic science-fiction film "E.T. the Extra-Terrestrial."
  • C. Heather Langenkamp
    Heather Langenkamp is an American actress best known for playing Nancy Thompson, the resourceful heroine of the original A Nightmare on Elm Street horror film and several of its sequels.
  • D. Jami Gertz
    Jami Gertz is an American actress known for her roles in 1980s films and television series, including standout performances in movies like "The Lost Boys" and "Quicksilver."
  • E. JoBeth Williams
    JoBeth Williams is an American actress known for her roles in films such as "Poltergeist," "The Big Chill," and numerous television movies and 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_69c69f2891148190a484f3b8222c6f1b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5f595148190b36649b0095bb898 completed March 27, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84621ba688190b85ee787b856b138 completed March 28, 2026, 9:20 p.m.
Created at: March 27, 2026, 3:46 p.m.