Triple

T15159213
Position Surface form Disambiguated ID Type / Status
Subject Nevin Steinberg E362160 entity
Predicate notableWork P4 FINISHED
Object The Nance E1021964 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: The Nance | Statement: [Nevin Steinberg, notableWork, The Nance]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Nance
Context triple: [Nevin Steinberg, notableWork, The Nance]
  • A. The Nance chosen
    The Nance is a Broadway play by Douglas Carter Beane that explores the life and struggles of a gay burlesque performer in 1930s New York.
  • B. 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.
  • C. 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."
  • D. Dayanhe, My Nanny
    "Dayanhe, My Nanny" is a well-known poem by Chinese poet Ai Qing that affectionately commemorates the life and kindness of the nanny who raised him.
  • E. For the Love of Nancy
    For the Love of Nancy is a 1994 made-for-television drama film that follows a young woman's struggle with anorexia nervosa and its impact on her family.
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0060dd71881908ecc4a4f52d438a5 completed April 15, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69febffaa4b88190aab36fdae057e6d2 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:08 a.m.