Triple

T22366713
Position Surface form Disambiguated ID Type / Status
Subject Elser – Er hätte die Welt verändert E552922 entity
Predicate productionCompany P490 FINISHED
Object Broth Film NE NERFINISHED

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: Broth Film | Statement: [Elser – Er hätte die Welt verändert, productionCompany, Broth Film]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Broth Film
Context triple: [Elser – Er hätte die Welt verändert, productionCompany, Broth Film]
  • A. Broth Film chosen
    Broth Film is a film production company known for producing the historical drama thriller "13 Minutes."
  • B. Film Begets Film
    Film Begets Film is a critical study by film historian Jay Leyda that examines the influence of existing films on the creation and evolution of new cinematic works.
  • C. The Bro
    The Bro is a high-thrill water slide attraction at WhiteWater World, known for its fast, twisting ride experience.
  • D. Thura Film
    Thura Film is a Danish film production company known for producing the 1994 horror-thriller "Nightwatch."
  • E. Robis Film
    Robis Film is a film production company best known for producing the acclaimed Egyptian drama "The Night of Counting the Years."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4affcc8190ba7c27d29062558d completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1580074dc819091305ac7017000d3 completed April 29, 2026, 12:59 a.m.
Created at: April 16, 2026, 8:44 p.m.