Triple

T9914098
Position Surface form Disambiguated ID Type / Status
Subject Last Action Hero E185822 entity
Predicate starring P1507 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: [Last Action Hero, starring, Mercedes Ruehl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mercedes Ruehl
Context triple: [Last Action Hero, starring, 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. 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."
  • C. Anne McDonnell
    Anne McDonnell was an American socialite best known as the first wife of industrialist Henry Ford II.
  • D. 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.
  • E. Amanda Plummer
    Amanda Plummer is an American actress known for her intense, eccentric character roles in films such as "Pulp Fiction" and "The Fisher King," as well as her work on stage and television.
  • 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_69ca829b45f481909040f7b99a1976ed completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb53ba1ac8190ba655133b81596d7 completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e531dfa48190b57fcd2444de1ab7 completed April 5, 2026, 10:41 p.m.
Created at: March 30, 2026, 8:41 p.m.