Triple

T10465435
Position Surface form Disambiguated ID Type / Status
Subject An Education E246782 entity
Predicate director P255 FINISHED
Object Lone Scherfig E717050 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: Lone Scherfig | Statement: [An Education, director, Lone Scherfig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lone Scherfig
Context triple: [An Education, director, Lone Scherfig]
  • A. Lone Scherfig chosen
    Lone Scherfig is a Danish film director and screenwriter known for her character-driven dramas and romantic comedies, including the acclaimed film "An Education."
  • B. Susanne Bier
    Susanne Bier is an acclaimed Danish film director known for her emotionally intense dramas and the Academy Award-winning film "In a Better World."
  • C. Lynne Ramsay
    Lynne Ramsay is a Scottish filmmaker acclaimed for her visually striking, psychologically intense films such as "Ratcatcher," "We Need to Talk About Kevin," and "You Were Never Really Here."
  • D. Andrea Arnold
    Andrea Arnold is an acclaimed British filmmaker known for her gritty, character-driven films such as "Fish Tank" and "American Honey," as well as her work in high-profile television.
  • E. Hannah Gavron
    Hannah Gavron was a British sociologist and writer known for her influential work on the experiences of young married women in mid-20th-century Britain.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50886c2a8819086da6c08356ec6bf completed April 7, 2026, 1:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89fe6129881908c658ff977e68135 completed April 10, 2026, 6:59 a.m.
Created at: April 6, 2026, 12:19 p.m.