Triple

T7849142
Position Surface form Disambiguated ID Type / Status
Subject The Nanny E181999 entity
Predicate starring P1507 FINISHED
Object Madeline Zima E382104 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: Madeline Zima | Statement: [The Nanny, starring, Madeline Zima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madeline Zima
Context triple: [The Nanny, starring, Madeline Zima]
  • A. Madeline Zima chosen
    Madeline Zima is an American actress best known for her roles in the television series "The Nanny," "Californication," and "Heroes."
  • B. Madeline Wuntch
    Madeline Wuntch is a high-ranking NYPD official and recurring antagonist in the sitcom "Brooklyn Nine-Nine," known for her long-running professional feud with Captain Raymond Holt.
  • C. Madeline Rogero
    Madeline Rogero is an American politician and urban planner who became the first female mayor of Knoxville, Tennessee.
  • D. Emiley Zalesky
    Emiley Zalesky is known as the wife of American conductor Keith Lockhart, longtime music director of the Boston Pops Orchestra.
  • E. Madeline Neroni
    Madeline Neroni is a captivating, manipulative, and physically disabled beauty in Anthony Trollope’s novel "Barchester Towers," known for using her charm and wit to influence the social and romantic intrigues around her.
  • 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_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb18e989ac819090e459b77d8932d3 completed March 31, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b0515c08190b866a39749d54849 completed March 31, 2026, 5:26 a.m.
Created at: March 30, 2026, 4:50 p.m.