Triple

T21439843
Position Surface form Disambiguated ID Type / Status
Subject High Life E528908 entity
Predicate screenwriter P2831 FINISHED
Object Zadie Smith 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: Zadie Smith | Statement: [High Life, screenwriter, Zadie Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zadie Smith
Context triple: [High Life, screenwriter, Zadie Smith]
  • A. Zadie Smith chosen
    Zadie Smith is a British novelist and essayist renowned for her critically acclaimed debut "White Teeth" and her incisive explorations of race, identity, and contemporary multicultural life.
  • B. Monica Ali
    Monica Ali is a British-Bangladeshi novelist best known for her acclaimed debut "Brick Lane," which explores themes of immigration, identity, and cultural conflict.
  • C. Ali Smith
    Ali Smith is a Scottish author acclaimed for her inventive, genre-blurring novels and short stories, including the seasonal quartet that begins with "Autumn."
  • D. Anne Hollinghurst
    Anne Hollinghurst is a British Anglican bishop who serves in the Church of England and is known for her episcopal leadership and pastoral ministry.
  • E. Teju Cole
    Teju Cole is a Nigerian-American writer, photographer, and critic best known for his innovative, introspective novels and essays on cities, politics, and visual culture.
  • 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_69e0c4569fa081908101baa24f8745db completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b700237c8190bbcb4bedc4242719 completed April 22, 2026, 11:54 a.m.
Created at: April 16, 2026, 6:05 p.m.