Triple

T10482291
Position Surface form Disambiguated ID Type / Status
Subject CB4 E247201 entity
Predicate cinematography P1953 FINISHED
Object Robert Brinkmann E173377 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: Robert Brinkmann | Statement: [CB4, cinematography, Robert Brinkmann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Brinkmann
Context triple: [CB4, cinematography, Robert Brinkmann]
  • A. Robert Brinkmann chosen
    Robert Brinkmann is a German-born cinematographer known for his work on feature films, music-related projects, and television.
  • B. Martin Benrath
    Martin Benrath was a German actor known for his extensive work in film, television, and theater from the mid-20th century onward.
  • C. Armin B. Cremers
    Armin B. Cremers is a German computer scientist known for his contributions to artificial intelligence, robotics, and information systems, and for mentoring influential researchers in these fields.
  • D. Dirk Margadant
    Dirk Margadant was a Dutch architect known for designing prominent public buildings in the Netherlands, including notable railway stations.
  • E. Christian Gudegast
    Christian Gudegast is an American filmmaker and screenwriter known for writing action and crime thrillers and for making his feature directorial debut with the heist film "Den of Thieves."
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5095d21c08190a0b2f3e57fabb1d8 completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69de550705788190bd35b9763b44f546 completed April 14, 2026, 2:53 p.m.
Created at: April 6, 2026, 12:22 p.m.