Triple

T16810571
Position Surface form Disambiguated ID Type / Status
Subject Mr. Nanny E408596 entity
Predicate cinematography P1953 FINISHED
Object Peter Stein E721793 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: [Mr. Nanny, cinematography, Peter Stein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Stein
Context triple: [Mr. Nanny, cinematography, Peter Stein]
  • A. Peter Stein
    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 chosen
    Peter Stein is an American cinematographer known for his work on genre films, particularly in horror and thriller cinema.
  • C. Kurt Steiner
    Kurt Steiner is a fictional character in Markus Zusak's novel "The Book Thief," known as Rudy Steiner's older brother in a German family living under Nazi rule.
  • D. Herschel Garfein
    Herschel Garfein is an American composer, librettist, and director known for his work in contemporary opera and concert music.
  • E. Kurt Vogel
    Kurt Vogel is a relatively obscure individual whose name is notably recorded but who lacks widely recognized public achievements or biographical prominence.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2cf680c8190bcd640570c524918 completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b290d8e4819082880444b42ffa43 completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:23 a.m.