Triple

T8153514
Position Surface form Disambiguated ID Type / Status
Subject Bean E190386 entity
Predicate screenwriter P2831 FINISHED
Object Robin Driscoll E219517 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: Robin Driscoll | Statement: [Bean, screenwriter, Robin Driscoll]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robin Driscoll
Context triple: [Bean, screenwriter, Robin Driscoll]
  • A. Robin Driscoll chosen
    Robin Driscoll is a British comedy writer and actor best known for co-writing and shaping the character and television series of Mr. Bean.
  • B. Gil Robbins
    Gil Robbins was an American folk musician and actor, best known as a member of the Highwaymen and for his work in the 1960s folk scene.
  • C. Jean Weigle
    Jean Weigle was a Swiss-born physicist and molecular biologist known for his pioneering work on bacteriophages and contributions to the early development of molecular genetics.
  • D. Lindy Robbins
    Lindy Robbins is an American songwriter known for crafting hit pop songs for major artists across the contemporary music industry.
  • E. Robin Buckley
    Robin Buckley is a witty, sharp-tongued Hawkins teen and Steve Harrington’s close friend who works with him at Scoops Ahoy and later helps uncover sinister mysteries in the series Stranger Things.
  • 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_69ca82bfeb6481909d07b91b5cf69f59 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb44d566b08190a6bb672f9c368806 completed March 31, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd67a886948190a728909f8381c2f1 completed April 1, 2026, 6:44 p.m.
Created at: March 30, 2026, 5:37 p.m.