Triple

T15625013
Position Surface form Disambiguated ID Type / Status
Subject RED (2010 film) E375656 entity
Predicate cinematographyBy P1953 FINISHED
Object Florian Ballhaus E126632 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: Florian Ballhaus | Statement: [RED (2010 film), cinematographyBy, Florian Ballhaus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Florian Ballhaus
Context triple: [RED (2010 film), cinematographyBy, Florian Ballhaus]
  • A. Florian Ballhaus chosen
    Florian Ballhaus is a German cinematographer known for his work on major Hollywood films and television series.
  • B. Florian Haertel
    Florian Haertel is a German journalist and photographer best known as the former husband of British actress Alex Kingston.
  • C. Andreas Thiel
    Andreas Thiel is a notable individual whose identity is associated with the surname Thiel, recognized for achievements that distinguish him among bearers of the name.
  • D. Stefan Effenberg
    Stefan Effenberg is a former German midfielder renowned for his leadership and playmaking at Bayern Munich and the German national team.
  • E. Andreas Grosch
    Andreas Grosch is a film producer best known for his work on the crime drama "Lord of War."
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e9e5e248190ae54cda1fde51efb completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff678c9d8c8190be73b6e7ed558e99 completed May 9, 2026, 4:57 p.m.
Created at: April 10, 2026, 4:14 a.m.