Triple

T18958845
Position Surface form Disambiguated ID Type / Status
Subject The Caddy E463854 entity
Predicate hasCastMember P2308 FINISHED
Object Bess Flowers 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: Bess Flowers | Statement: [The Caddy, hasCastMember, Bess Flowers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bess Flowers
Context triple: [The Caddy, hasCastMember, Bess Flowers]
  • A. Bess Flowers chosen
    Bess Flowers was a prolific American character actress best known as the "Queen of the Hollywood Extras" for her hundreds of uncredited appearances in classic films from the 1920s through the 1960s.
  • B. Flora Drew
    Flora Drew is a British translator and editor best known for her work translating and promoting the writings of Chinese author Ma Jian.
  • C. Betsy Bowen
    Betsy Bowen, later known as Eliza Jumel, was a prominent 19th-century American socialite and wealthy New York landowner who rose from poverty to become one of the richest women of her time.
  • D. Belle Shouse
    Belle Shouse is an American actress best known for her role in the television drama series "Secrets and Lies."
  • E. Belle Williams
    Belle Williams is the ambitious and fearless New York City cab driver portrayed by Queen Latifah in the 2004 action-comedy film "Taxi."
  • 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d5d057a48190b82b5788b3281e28 completed April 20, 2026, 7:29 a.m.
Created at: April 10, 2026, noon