Triple

T19628828
Position Surface form Disambiguated ID Type / Status
Subject The Cookout E471210 entity
Predicate stars P1956 FINISHED
Object Farrah Fawcett NE NERFINISHED

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: Farrah Fawcett | Statement: [The Cookout, stars, Farrah Fawcett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Farrah Fawcett
Context triple: [The Cookout, stars, Farrah Fawcett]
  • A. Farrah Fawcett chosen
    Farrah Fawcett was an American actress and pop culture icon best known for her role in the television series "Charlie's Angels" and her signature feathered hairstyle.
  • B. Pat Farrah
    Pat Farrah is an American retail executive best known as a co-founder of The Home Depot and a key architect of the big-box home improvement store concept.
  • C. Suzanne Somers
    Suzanne Somers was an American actress, author, and businesswoman best known for her breakout comedic role on the TV sitcom "Three's Company" and later success in health and fitness entrepreneurship.
  • D. Stefanie Powers
    Stefanie Powers is an American actress best known for her role as Jennifer Hart in the television series "Hart to Hart."
  • E. Lauren Hutton
    Lauren Hutton is an American model and actress known for her gap-toothed smile and pioneering status as one of the first supermodels, as well as for her roles in films such as "American Gigolo."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641007e5881908da78e50aa36f340 completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.