Triple

T15315575
Position Surface form Disambiguated ID Type / Status
Subject Men Behaving Badly E366147 entity
Predicate authorOfSourceMaterial P2806 FINISHED
Object Simon Nye E820601 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: Simon Nye | Statement: [Men Behaving Badly, authorOfSourceMaterial, Simon Nye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simon Nye
Context triple: [Men Behaving Badly, authorOfSourceMaterial, Simon Nye]
  • A. Simon Nye chosen
    Simon Nye is a British television writer and screenwriter best known for creating the sitcom "Men Behaving Badly" and adapting various literary works for TV.
  • B. Simon Gage
    Simon Gage is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Gage.
  • C. Simon J. Smith
    Simon J. Smith is a British film director and animator best known for his work on major animated features such as Bee Movie and the Kung Fu Panda franchise.
  • D. Simon Tindall
    Simon Tindall is a cinematographer known for his work on the British coming-of-age film "Days of the Bagnold Summer."
  • E. Peter Nye
    Peter Nye is the son of American comedian and actor Louis Nye.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03dd1d384819098f38402a8740d91 completed April 16, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01e70a308190a7d6b91178c39bd3 completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:16 a.m.