Triple

T9508143
Position Surface form Disambiguated ID Type / Status
Subject Alfred Hugenberg E229321 entity
Predicate owned P347 FINISHED
Object UFA film company E670582 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: UFA film company | Statement: [Alfred Hugenberg, owned, UFA film company]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UFA film company
Context triple: [Alfred Hugenberg, owned, UFA film company]
  • A. UFA film studios chosen
    UFA film studios was a major German film production company that became a central force in shaping the innovative and influential cinema of the Weimar Republic.
  • B. Mosfilm
    Mosfilm is one of Russia’s largest and oldest film studios, renowned for producing many of the Soviet Union’s most iconic movies.
  • C. Gorky Film Studio
    Gorky Film Studio is a major Soviet and Russian film studio, historically known for producing children’s films and notable cinematic works in Moscow.
  • D. World Film Company
    World Film Company was an early 20th-century American motion picture distribution and production company active during the silent film era.
  • E. Anouchka Films
    Anouchka Films is a film production company known for producing works such as Jean-Luc Godard’s 1967 political drama "La Chinoise."
  • 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_69ca847611c48190a28c028644198c75 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9855c5e48190a7d8d39b6d601679 completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a2b34948190826b1f58258a4f54 completed April 4, 2026, 4:19 p.m.
Created at: March 30, 2026, 7:57 p.m.