Triple

T12356988
Position Surface form Disambiguated ID Type / Status
Subject European Theatre Prize E294637 entity
Predicate notableRecipient P108 FINISHED
Object Peter Stein E520851 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: Peter Stein | Statement: [European Theatre Prize, notableRecipient, Peter Stein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Stein
Context triple: [European Theatre Prize, notableRecipient, Peter Stein]
  • A. Peter Stein chosen
    Peter Stein is a renowned German theatre and opera director known for his influential work with the Schaubühne in Berlin and his innovative, often epic stage productions.
  • B. Peter Stein
    Peter Stein is an American cinematographer known for his work on genre films, particularly in horror and thriller cinema.
  • C. Kurt Vogel
    Kurt Vogel is a relatively obscure individual whose name is notably recorded but who lacks widely recognized public achievements or biographical prominence.
  • D. Martin Stein
    Martin Stein is a brilliant nuclear physicist and one half of the superhero Firestorm in the DC Comics universe and its television adaptations.
  • E. Felix Steiner
    Felix Steiner was a high-ranking German SS commander during World War II who led several Waffen-SS formations on the Eastern and Western Fronts.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f8e64dc81908c2242c68cd1b86e completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ab4cdec8190849604ef2ec498ba completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:54 p.m.