Triple

T16286065
Position Surface form Disambiguated ID Type / Status
Subject Rules Don't Apply E395390 entity
Predicate starredActor P5563 FINISHED
Object Steve Coogan E69082 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: Steve Coogan | Statement: [Rules Don't Apply, starredActor, Steve Coogan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steve Coogan
Context triple: [Rules Don't Apply, starredActor, Steve Coogan]
  • A. Steve Coogan chosen
    Steve Coogan is an English actor, comedian, writer, and producer known for his character Alan Partridge and a wide range of film and television roles.
  • B. Rob Brydon
    Rob Brydon is a Welsh actor, comedian, impressionist, and presenter best known for his work on British television series such as "Gavin & Stacey" and "The Trip."
  • C. Ian Hart
    Ian Hart is an English actor known for his versatile character roles in film and television, including his portrayal of Professor Quirrell in "Harry Potter and the Philosopher's Stone."
  • D. James J. Parsons
    James J. Parsons was an influential American geographer known for his work in cultural and historical geography, particularly in Latin America.
  • E. Jack Whitehall
    Jack Whitehall is a British comedian, actor, and writer known for his stand-up comedy and roles in series like "Fresh Meat" and "Bad Education," as well as various film and presenting work.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24914bda08190a5d6315414ee3f76 completed April 17, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017caaa448190a5034ddbd90d2fd5 completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:05 a.m.