Triple

T5591220
Position Surface form Disambiguated ID Type / Status
Subject Burnt E146881 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: [Burnt, producer, Erwin Stoff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erwin Stoff
Context triple: [Burnt, 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. Erwin Bälz
    Erwin Bälz was a German internist and physiologist renowned for his pioneering contributions to modern medicine in Japan during the Meiji era.
  • C. 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.
  • D. Erwin Kurtz
    Erwin Kurtz is a person notable enough to be recognized as a significant bearer of the surname Kurtz.
  • E. Hans Pilger
    Hans Pilger is an individual notable enough to be recognized as a bearer of the surname Pilger, though specific widely known biographical details about him are not readily documented.
  • 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_69c009036c408190981a8d690b679b67 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020a3365c8190bd223226c0a6969f completed March 22, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07d8c6f8881909ac2018d11f5aef8 completed March 22, 2026, 11:38 p.m.
Created at: March 22, 2026, 3:38 p.m.