Triple

T11236366
Position Surface form Disambiguated ID Type / Status
Subject Hidden (Caché) E265950 entity
Predicate cinematographyBy P1953 FINISHED
Object Christian Berger E847115 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: Christian Berger | Statement: [Hidden (Caché), cinematographyBy, Christian Berger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christian Berger
Context triple: [Hidden (Caché), cinematographyBy, Christian Berger]
  • A. Christian Berger chosen
    Christian Berger is an acclaimed Austrian cinematographer best known for his long-time collaboration with director Michael Haneke, including the Oscar-winning film "The White Ribbon."
  • B. Christian Fuchs
    Christian Fuchs is an Austrian former professional footballer best known as a left-back for clubs such as Schalke 04 and Leicester City, with whom he won the 2015–16 Premier League title.
  • C. Christian Meyer
    Christian Meyer is the husband of American author Stephenie Meyer, best known for her Twilight series.
  • D. Christoph Bergner
    Christoph Bergner is a German politician who served as Minister-President of the federal state of Saxony-Anhalt in the early 1990s.
  • E. Thorsten Kornblum
    Thorsten Kornblum is a German politician who serves as the mayor of the city of Braunschweig.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e904cf888190826fc964f76b5cb2 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad6308f8819085652d6c529ac821 completed April 19, 2026, 10:24 a.m.
Created at: April 8, 2026, 9:30 p.m.