Triple

T22427437
Position Surface form Disambiguated ID Type / Status
Subject Emma. (2020 film) E554408 entity
Predicate basedOn P98 FINISHED
Object Emma (novel) 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: Emma (novel) | Statement: [Emma. (2020 film), basedOn, Emma (novel)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emma (novel)
Context triple: [Emma. (2020 film), basedOn, Emma (novel)]
  • A. Emma (novel) chosen
    Emma (novel) is an 1815 romantic comedy by Jane Austen that follows the matchmaking misadventures of the clever but misguided Emma Woodhouse in an English village.
  • B. Emma of Lecce
    Emma of Lecce was a noblewoman of the Norman Kingdom of Sicily, best known as the mother of King Tancred of Lecce.
  • C. Young Emma
    "Young Emma" is a narrative poem by Welsh poet W. H. Davies that reflects his characteristic focus on ordinary lives, hardship, and emotional resilience.
  • D. Emma of Ivry
    Emma of Ivry was a Norman noblewoman of the early 11th century, notable as a relative of the ducal house of Normandy and the mother of the powerful lord and royal advisor William fitzOsbern.
  • E. Emma; or, The Unfortunate Attachment
    Emma; or, The Unfortunate Attachment is an 18th-century epistolary novel of manners and sentiment written by Georgiana Cavendish, Duchess of Devonshire.
  • 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_69e11e4f2d0c819091aa3558ea2ee630 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a2e438481908d43026727afa709 completed April 29, 2026, 1:09 a.m.
Created at: April 16, 2026, 8:47 p.m.