Triple

T13273854
Position Surface form Disambiguated ID Type / Status
Subject Ministry of Fear E316135 entity
Predicate editor P1954 FINISHED
Object Arthur P. Schmidt NE NERFINISHED

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: Arthur P. Schmidt | Statement: [Ministry of Fear, editor, Arthur P. Schmidt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arthur P. Schmidt
Context triple: [Ministry of Fear, editor, Arthur P. Schmidt]
  • A. Arthur P. Schmidt chosen
    Arthur P. Schmidt was an American film editor best known for his work on classic Hollywood films, including collaborations with director Billy Wilder.
  • B. Philip N. B. Schutte
    Philip N. B. Schutte is a scholar known for co-authoring academic work with knowledge management theorist Ikujiro Nonaka.
  • C. Charles O. Baumann
    Charles O. Baumann was an early American film producer and studio executive who played a significant role in the development of the motion picture industry in the early 20th century.
  • D. George B. Schubauer
    George B. Schubauer was an American engineer and experimental physicist known for his influential work in fluid mechanics and turbulence research.
  • E. Victor J. Kemper
    Victor J. Kemper is an American cinematographer known for his work on numerous popular films from the 1970s and 1980s, including "Dog Day Afternoon" and "National Lampoon's Vacation."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9904193bc8190af4155750bcf32f6 completed April 11, 2026, 12:05 a.m.
Created at: April 9, 2026, 9:26 p.m.