Triple

T10463127
Position Surface form Disambiguated ID Type / Status
Subject Hackney Downs School E246725 entity
Predicate educated P5 FINISHED
Object Steven Berkoff E300147 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: Steven Berkoff | Statement: [Hackney Downs School, educated, Steven Berkoff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steven Berkoff
Context triple: [Hackney Downs School, educated, Steven Berkoff]
  • A. Steven Berkoff chosen
    Steven Berkoff is an English actor, playwright, and director known for his intense performances and frequent portrayals of villains in film and theatre.
  • B. Edward Bond
    Edward Bond is a British playwright known for his provocative, politically charged dramas and influential contributions to modern theatre.
  • C. Siri Pinter
    Siri Pinter is an American food blogger and television producer best known as the wife of TV host Carson Daly.
  • D. Desmond Boal
    Desmond Boal was a Northern Irish barrister and politician who co-founded the Democratic Unionist Party alongside Ian Paisley and played a key role in shaping its early unionist and hardline policies.
  • E. Peter Brooks
    Peter Brooks was a prominent 19th-century Chicago real estate developer and investor known for financing major commercial buildings, including landmark early skyscrapers.
  • 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_69d50884fac48190af22e181b1492557 completed April 7, 2026, 1:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89fd865688190b0b5708481f397f4 completed April 10, 2026, 6:59 a.m.
Created at: April 6, 2026, 12:19 p.m.