Triple

T23538066
Position Surface form Disambiguated ID Type / Status
Subject Sally Lapiduss E577656 entity
Predicate notableWork P4 FINISHED
Object The Nanny 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: The Nanny | Statement: [Sally Lapiduss, notableWork, The Nanny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Nanny
Context triple: [Sally Lapiduss, notableWork, The Nanny]
  • A. The Nanny
    The Nanny is a quirky, kind-hearted caretaker in "The Willoughbys" who becomes a stabilizing, loving presence in the lives of the neglected Willoughby children.
  • B. The Nanny chosen
    The Nanny is a popular 1990s American sitcom starring Fran Drescher as a flashy Queens nanny working for a wealthy Manhattan family.
  • C. The Nanny
    The Nanny is a 1994 American made-for-television thriller film in which Dina Merrill plays a central role in a suspenseful story about a seemingly trustworthy caregiver with a dark side.
  • D. The Nanny Diaries
    The Nanny Diaries is a 2007 comedy-drama film, based on the bestselling novel, that follows a college student working as a nanny for a wealthy New York family and stars Scarlett Johansson and Laura Linney.
  • E. Nanny
    Nanny is the kind-hearted, loyal housekeeper who helps care for Pongo and Perdita’s puppies in Disney’s "One Hundred and One Dalmatians."
  • 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_69e245f9d5d08190a4a20004e1784e20 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1ae1831688190ac06b84729bce160 completed April 29, 2026, 7:07 a.m.
Created at: April 17, 2026, 6:10 p.m.