Triple

T9937361
Position Surface form Disambiguated ID Type / Status
Subject Unbroken E193990 entity
Predicate producer P490 FINISHED
Object Erwin Stoff E350670 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: Erwin Stoff | Statement: [Unbroken, producer, Erwin Stoff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erwin Stoff
Context triple: [Unbroken, producer, Erwin Stoff]
  • A. Erwin Stoff chosen
    Erwin Stoff is a Hollywood film producer and talent manager known for overseeing major studio projects and guiding the careers of high-profile actors.
  • B. Hans Waldmann
    Hans Waldmann was a 15th-century Swiss military leader and later mayor of Zurich, noted for his prominent role in the Burgundian Wars and his controversial political career that ended in execution.
  • C. Erwin Böhme
    Erwin Böhme was a German World War I fighter ace and close associate of Oswald Boelcke, credited with numerous aerial victories on the Western Front.
  • D. Erwin Bälz
    Erwin Bälz was a German internist and physiologist renowned for his pioneering contributions to modern medicine in Japan during the Meiji era.
  • E. Carl Schuhmann
    Carl Schuhmann was a German athlete renowned for winning multiple gold medals in gymnastics and wrestling at the inaugural modern Olympic Games in 1896.
  • 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_69ca82e409348190a393777356b80a2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5e4e19881909879b394090d6629 completed April 2, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69d32a6ee36881909aabd35a77e62918 completed April 6, 2026, 3:37 a.m.
Created at: March 30, 2026, 8:44 p.m.