Triple

T18364797
Position Surface form Disambiguated ID Type / Status
Subject Jodhi May E440011 entity
Predicate notableWork P4 FINISHED
Object Emma (1996 TV film) 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 (1996 TV film) | Statement: [Jodhi May, notableWork, Emma (1996 TV film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emma (1996 TV film)
Context triple: [Jodhi May, notableWork, Emma (1996 TV film)]
  • A. Emma (1996 film) chosen
    Emma (1996 film) is a 1996 British-American period romantic comedy adaptation of Jane Austen's novel, starring Gwyneth Paltrow as the titular matchmaker in Regency-era England.
  • B. Emma (2009 TV serial)
    Emma (2009 TV serial) is a BBC television adaptation of Jane Austen's novel "Emma," starring Romola Garai and Jonny Lee Miller in a four-part period drama.
  • C. Emma (novel)
    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.
  • D. 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.
  • E. Alex & Emma
    Alex & Emma is a 2003 romantic comedy film about a writer racing to finish a novel with the help of a quirky stenographer, starring Luke Wilson and Kate Hudson.
  • 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5174d31608190851a5bab6878c203 completed April 19, 2026, 5:56 p.m.
Created at: April 10, 2026, 10:38 a.m.