Triple

T6975934
Position Surface form Disambiguated ID Type / Status
Subject Hope Floats E161717 entity
Predicate starring P1507 FINISHED
Object Mae Whitman E315708 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: Mae Whitman | Statement: [Hope Floats, starring, Mae Whitman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mae Whitman
Context triple: [Hope Floats, starring, Mae Whitman]
  • A. Mae Whitman chosen
    Mae Whitman is an American actress known for her versatile work in film and television, including roles in projects like "Arrested Development," "Parenthood," and "The DUFF."
  • B. Beatie Edney
    Beatie Edney is a British actress best known for her role as Heather MacLeod in the film "Highlander" and its sequel, as well as for numerous appearances in British television dramas.
  • C. Carrie Beth Van Dyke
    Carrie Beth Van Dyke is an American woman best known as one of the children of legendary actor and comedian Dick Van Dyke.
  • D. Sylvia Whitman
    Sylvia Whitman is a British-American bookseller and literary figure best known for running the iconic Shakespeare and Company bookshop in Paris, continuing her father George Whitman’s legacy as a hub for writers and readers.
  • E. Marilyn Vance
    Marilyn Vance is an American costume designer known for her influential work on numerous popular films, including iconic 1980s and 1990s movies.
  • 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_69c68854a0d88190bc0bf82263f1afce completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db3d3ab08190b107f3229c357dd2 completed March 27, 2026, 7:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c761ab41b0819084d26c10bb763f8e completed March 28, 2026, 5:05 a.m.
Created at: March 27, 2026, 2:31 p.m.