Triple

T14283247
Position Surface form Disambiguated ID Type / Status
Subject Bad Education E354102 entity
Predicate screenwriter P2831 FINISHED
Object Freddie Syborn E1090594 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: Freddie Syborn | Statement: [Bad Education, screenwriter, Freddie Syborn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Freddie Syborn
Context triple: [Bad Education, screenwriter, Freddie Syborn]
  • A. Freddie Syborn chosen
    Freddie Syborn is a British television writer and producer best known for co-creating and writing the sitcom "Bad Education."
  • B. Freddie Lyon
    Freddie Lyon is a driven and idealistic investigative journalist in the British television drama series "The Hour," known for his sharp intellect and uncompromising pursuit of the truth.
  • C. Freddie Young
    Freddie Young was a renowned British cinematographer best known for his sweeping, visually stunning work on epic films such as "Lawrence of Arabia."
  • D. Freddie Thorne
    Freddie Thorne is a politically radical communist and former World War I soldier in the TV series "Peaky Blinders," known for his complex ties to the Shelby family.
  • E. Freddie Bullivant
    Freddie Bullivant is the central character of the show "Fixing it for Freddie," around whom the series’ stories and events revolve.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de697d9fd08190b0cd7a6a6737ba03 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd467f3b3081908261261301674c4e completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:10 a.m.