Triple

T31405651
Position Surface form Disambiguated ID Type / Status
Subject Academy Award for Best Actor for Pelle the Conqueror E801117 entity
Predicate filmHistoricalSetting P62770 FINISHED
Object late 19th century LITERAL 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: late 19th century | Statement: [Academy Award for Best Actor for Pelle the Conqueror, filmHistoricalSetting, late 19th century]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: filmHistoricalSetting
Context triple: [Academy Award for Best Actor for Pelle the Conqueror, filmHistoricalSetting, late 19th century]
  • A. historicalSettingOfFilm chosen
    Indicates that a particular historical period, event, or context serves as the setting in which a film’s story takes place.
  • B. historicalGenre
    Indicates that something belongs to or is categorized within a particular historical genre.
  • C. historicalAdaptation
    Indicates that one entity is an adaptation, reinterpretation, or version of another entity set in or tailored to a historical context.
  • D. filmHistory
    Indicates that there is a historical or background connection between a film and another entity, such as its development, production, or past events related to it.
  • E. historicalTheater
    Indicates that an entity is a theater recognized for its historical significance or heritage.
  • F. None of above.

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_69f348c0dd648190bf2fd7642f78eb06 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a5f71b2c8190aade8a83f465be0c completed May 3, 2026, 1:33 a.m.
PD Predicate disambiguation batch_69f69fe66df08190958558d63ee623d9 completed May 3, 2026, 1:07 a.m.
Created at: April 30, 2026, 8:31 p.m.