Triple

T2644526
Position Surface form Disambiguated ID Type / Status
Subject Dumbo (2019 film) E62952 entity
Predicate screenwriter P2831 FINISHED
Object Ehren Kruger E285402 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: Ehren Kruger | Statement: [Dumbo (2019 film), screenwriter, Ehren Kruger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ehren Kruger
Context triple: [Dumbo (2019 film), screenwriter, Ehren Kruger]
  • A. Ehren Kruger chosen
    Ehren Kruger is an American screenwriter and film producer known for writing several entries in the Transformers franchise and other major Hollywood films.
  • B. Erich Rothacker
    Erich Rothacker was a German philosopher and cultural theorist known for his work in philosophical anthropology and the humanities, and for supervising Jürgen Habermas’s doctoral studies.
  • C. Michael Schaefer
    Michael Schaefer is a film and television producer known for his executive production work on projects such as the series "Swarm."
  • D. John Heydler
    John Heydler was an American baseball executive who served as president of the National League in the early 20th century.
  • E. Edward Neumann
    Edward Neumann, better known by his stage name Snitz Edwards, was a Hungarian-American character actor prominent in early 20th-century silent and sound films.
  • 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_69ab4c3f2dcc819082df80f5e032f690 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abd917192081908e7a2cf780a17b83 completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa050cc408190b2fa81a0f2da06eb completed March 10, 2026, 4:38 a.m.
Created at: March 6, 2026, 9:53 p.m.