Triple

T20388410
Position Surface form Disambiguated ID Type / Status
Subject Jonathan Stark E498018 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: [Jonathan Stark, notableWork, The Nanny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Nanny
Context triple: [Jonathan Stark, notableWork, The Nanny]
  • A. The Nanny chosen
    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.
  • B. The Nanny
    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 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.
  • D. Nanny
    Nanny was a legendary 18th-century leader of the Jamaican Maroons, celebrated for her resistance against British colonial rule and her role as a national heroine of Jamaica.
  • 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6790d9e5881908bde7da9e5e541a0 completed April 20, 2026, 7:05 p.m.
Created at: April 16, 2026, 11:28 a.m.