Triple

T20291700
Position Surface form Disambiguated ID Type / Status
Subject Miriam Angeline Works E510041 entity
Predicate name P16 FINISHED
Object Miriam Angeline Works 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: Miriam Angeline Works | Statement: [Miriam Angeline Works, name, Miriam Angeline Works]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miriam Angeline Works
Context triple: [Miriam Angeline Works, name, Miriam Angeline Works]
  • A. Miriam Angeline Works chosen
    Miriam Angeline Works was an early Latter-day Saint woman best known as one of the wives of Brigham Young, a prominent leader of The Church of Jesus Christ of Latter-day Saints.
  • B. Miriam Nicado García
    Miriam Nicado García is a Cuban mathematician and academic who became the first woman to serve as rector of the University of Havana.
  • C. Annmarie Morais
    Annmarie Morais is a Canadian screenwriter known for her work on the dance drama film "How She Move" and other film and television projects.
  • D. Lucia Villanueva
    Lucia Villanueva is a central character in the crime drama series "Snowfall," depicted as a savvy and ambitious figure deeply entangled in the Los Angeles drug trade of the 1980s.
  • E. Miriam Pentinen
    Miriam Pentinen is a central character in the film "The Finest Hours," depicted as the determined and supportive fiancée of Coast Guard officer Bernie Webber during a perilous 1952 rescue mission.
  • 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_69e0b4c652388190b782cad965e5a098 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e67700c024819091205f5b0a8648e3 completed April 20, 2026, 6:57 p.m.
Created at: April 16, 2026, 11:12 a.m.