Triple

T14283221
Position Surface form Disambiguated ID Type / Status
Subject Bad Education E354102 entity
Predicate producer P490 FINISHED
Object Tiger Aspect Productions E190413 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: Tiger Aspect Productions | Statement: [Bad Education, producer, Tiger Aspect Productions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiger Aspect Productions
Context triple: [Bad Education, producer, Tiger Aspect Productions]
  • A. Tiger Aspect Productions chosen
    Tiger Aspect Productions is a British television production company best known for creating and producing popular comedy series, including the iconic sitcom "Mr. Bean."
  • B. Tig Productions
    Tig Productions is a film and television production company best known for producing the Western drama "Open Range."
  • C. Tig Productions
    Tig Productions is a film and television production company best known for producing the hit 1992 movie "The Bodyguard" starring Whitney Houston and Kevin Costner.
  • D. Tig Productions
    Tig Productions is a film and television production company best known for producing the Academy Award–winning Western epic "Dances with Wolves."
  • E. Tig Productions
    Tig Productions is a film and television production company best known for producing Kevin Costner–led projects such as the post-apocalyptic drama "The Postman."
  • 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_69fd3d1a6d8081908e857143c0c809c0 completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:10 a.m.