Triple

T15355233
Position Surface form Disambiguated ID Type / Status
Subject Office Space E367154 entity
Predicate cinematographyBy P1953 FINISHED
Object Tim Suhrstedt E383199 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: Tim Suhrstedt | Statement: [Office Space, cinematographyBy, Tim Suhrstedt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tim Suhrstedt
Context triple: [Office Space, cinematographyBy, Tim Suhrstedt]
  • A. Tim Suhrstedt chosen
    Tim Suhrstedt is an American cinematographer known for his work on numerous feature films and television projects, often recognized for his naturalistic visual style.
  • B. Robert Sauer
    Robert Sauer was a German mathematician known for his contributions to geometry and for his academic leadership in the mid-20th century.
  • C. Paul Madvig
    Paul Madvig is the politically connected fixer and central protagonist of the 1942 film noir "The Glass Key," navigating corruption, loyalty, and murder in a tense urban underworld.
  • D. Emil C. Gotschlich
    Emil C. Gotschlich was an American physician and microbiologist renowned for developing the first effective vaccines against meningococcal meningitis.
  • E. Fredric Steinkamp
    Fredric Steinkamp was an American film editor best known for his acclaimed work on major Hollywood productions, including the Oscar-winning epic "Out of Africa."
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e2c00648190ae2325e1ee58dcfd completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_6a001799fbac8190b75a48a8c63e3381 completed May 10, 2026, 5:28 a.m.
Created at: April 10, 2026, 3:18 a.m.