Triple

T10525678
Position Surface form Disambiguated ID Type / Status
Subject Another You E248297 entity
Predicate hasCastMember P2308 FINISHED
Object Mercedes Ruehl E397934 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: Mercedes Ruehl | Statement: [Another You, hasCastMember, Mercedes Ruehl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mercedes Ruehl
Context triple: [Another You, hasCastMember, Mercedes Ruehl]
  • A. Mercedes Ruehl chosen
    Mercedes Ruehl is an American actress acclaimed for her powerful stage and screen performances, including an Academy Award-winning role in the film "The Fisher King."
  • B. Rachel Messerer
    Rachel Messerer was a member of the prominent Messerer family of Russian ballet, known as a relative of legendary ballerina Maya Plisetskaya.
  • C. Kimberly Elise
    Kimberly Elise is an American actress known for her powerful performances in films such as "Set It Off," "Beloved," and "Diary of a Mad Black Woman."
  • D. Anne McDonnell
    Anne McDonnell was an American socialite best known as the first wife of industrialist Henry Ford II.
  • E. Patricia Wettig
    Patricia Wettig is an American actress best known for her Emmy-winning role on the television series "thirtysomething" and her work in film and TV dramas.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509f4bbe88190bce7789a56c85671 completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69dff7628eb081909ab3a445238bb682 completed April 15, 2026, 8:38 p.m.
Created at: April 6, 2026, 12:29 p.m.