Triple

T19400084
Position Surface form Disambiguated ID Type / Status
Subject Sylvia Miranda E485297 entity
Predicate name P16 FINISHED
Object Sylvia Miranda 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: Sylvia Miranda | Statement: [Sylvia Miranda, name, Sylvia Miranda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sylvia Miranda
Context triple: [Sylvia Miranda, name, Sylvia Miranda]
  • A. Sylvia Miranda chosen
    Sylvia Miranda is a notable individual recognized for bearing the surname Miranda, though specific widely known public details about her are limited.
  • B. Sylvia Ahi
    Sylvia Ahi is the wife of South African-American actor Arnold Vosloo, known for his roles in films such as "The Mummy."
  • C. Elizabeth Raposo
    Elizabeth Raposo is a film producer and former Paramount Pictures production executive known for overseeing and producing major studio projects, including Creed III.
  • D. Silvia Ward
    Silvia Ward is known as the spouse of American actor Fred Ward.
  • 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6257692508190b658928e224d72d7 completed April 20, 2026, 1:09 p.m.
Created at: April 10, 2026, 1:36 p.m.