Triple

T15393117
Position Surface form Disambiguated ID Type / Status
Subject Gorky Park E368098 entity
Predicate screenwriter P2831 FINISHED
Object Dennis Potter E318194 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: Dennis Potter | Statement: [Gorky Park, screenwriter, Dennis Potter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dennis Potter
Context triple: [Gorky Park, screenwriter, Dennis Potter]
  • A. Dennis Potter chosen
    Dennis Potter was a groundbreaking British television dramatist and screenwriter renowned for his innovative, psychologically rich works that often blended fantasy and reality.
  • B. Alan Clarke
    Alan Clarke was a British television and film director renowned for his gritty, socially realist dramas and influential work for the BBC in the 1970s and 1980s.
  • C. Anthony Welsh
    Anthony Welsh is a British actor known for his work in television and film, including a prominent role in the drama series "The Trial of Christine Keeler."
  • D. Robert Holmes
    Robert Holmes was a prolific British television scriptwriter best known for his influential and imaginative work on the science fiction series Doctor Who.
  • E. Hugh Whitemore
    Hugh Whitemore was an English playwright and screenwriter known for his acclaimed television dramas and film scripts, often based on historical and biographical subjects.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e7838b48190862b43c6c8620692 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1350699c8190acf7830d88455851 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:19 a.m.