Triple

T5359034
Position Surface form Disambiguated ID Type / Status
Subject Fantastic Beasts: The Crimes of Grindelwald E102773 entity
Predicate mainCharacter P1183 FINISHED
Object Jacob Kowalski E163517 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: Jacob Kowalski | Statement: [Fantastic Beasts: The Crimes of Grindelwald, mainCharacter, Jacob Kowalski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jacob Kowalski
Context triple: [Fantastic Beasts: The Crimes of Grindelwald, mainCharacter, Jacob Kowalski]
  • A. Kowalski chosen
    Kowalski is a surname of Polish origin commonly used in Poland and among Polish diaspora communities.
  • B. Leo Nowak
    Leo Nowak is a German Roman Catholic prelate who became the first diocesan bishop of the re-established Diocese of Magdeburg after German reunification.
  • C. Peter Hylenski
    Peter Hylenski is a Tony Award–winning American sound designer known for his work on numerous major Broadway productions.
  • D. Tom "Iceman" Kazansky
    Tom "Iceman" Kazansky is a cool-headed, highly skilled U.S. Navy fighter pilot and rival-turned-respected ally of Maverick in the film Top Gun.
  • E. Matt Kowalski
    Matt Kowalski is a veteran NASA astronaut and spacewalker featured as a central character in the science fiction film "Gravity."
  • 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_69bd43d8f7248190b64c140734b5c9a8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd8631ca2c8190856258bf340f6e5d completed March 20, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21e955a8819094a0b12e42e2d6a6 completed March 21, 2026, 10:55 p.m.
Created at: March 20, 2026, 2:02 p.m.