Triple

T9166517
Position Surface form Disambiguated ID Type / Status
Subject Olivia Williams E219973 entity
Predicate notableWork P4 FINISHED
Object Emma (1996 TV film) E121582 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: Emma (1996 TV film) | Statement: [Olivia Williams, 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: [Olivia Williams, 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. (2020 film)
    Emma. (2020 film) is a 2020 British period romantic comedy-drama adaptation of Jane Austen’s novel, known for its stylish direction, witty tone, and Anya Taylor-Joy’s lead performance.
  • C. Emma
    Emma is a common feminine given name of Germanic origin, widely used in English-speaking and many other countries.
  • D. Emma
    "Emma" is a 2009 British television miniseries adaptation of Jane Austen's novel, starring Romola Garai in the title role.
  • E. Emmie
    Emmie is a diminutive given name, typically used as a affectionate or informal variant of names like Emma.
  • 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_69ca83e467108190abcae6a33b3d4dad completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaade47cc81909b5c127dc8aa1340 completed April 1, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0548b0e6c819090ece33b9ede9fa6 completed April 4, 2026, midnight
Created at: March 30, 2026, 7:22 p.m.