Triple

T11984854
Position Surface form Disambiguated ID Type / Status
Subject Willy Wonka & the Chocolate Factory E285250 entity
Predicate character P662 FINISHED
Object Mike Teevee E285249 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: Mike Teevee | Statement: [Willy Wonka & the Chocolate Factory, character, Mike Teevee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Teevee
Context triple: [Willy Wonka & the Chocolate Factory, character, Mike Teevee]
  • A. Mike Teavee chosen
    Mike Teavee is a television-obsessed, video game–addicted boy whose bratty behavior and fixation on screens lead to his comically disastrous fate during Willy Wonka’s factory tour.
  • B. Jeff Tweel
    Jeff Tweel is a songwriter best known for co-writing the country hit "Every Time Two Fools Collide," popularized by Kenny Rogers and Dottie West.
  • C. Chris Mills
    Chris Mills is a former American professional basketball player who played as a forward in the NBA during the 1990s and early 2000s.
  • D. Jeff Pilson
    Jeff Pilson is an American bassist and producer best known for his work with the rock bands Dokken and Foreigner.
  • E. Dick Tufeld
    Dick Tufeld was an American voice actor best known as the iconic voice of the Robot in the classic television series "Lost in Space."
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903acbb9081908fe7f8360057785c completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a5b024c81909e4ccfd7dec7edb3 completed May 2, 2026, 2:29 p.m.
Created at: April 8, 2026, 9:46 p.m.