Triple

T23282459
Position Surface form Disambiguated ID Type / Status
Subject Sixth Generation of Chinese cinema E588900 entity
Predicate contrastAspect P131861 FINISHED
Object focus on contemporary urban issues rather than historical epics 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: focus on contemporary urban issues rather than historical epics | Statement: [Sixth Generation of Chinese cinema, contrastAspect, focus on contemporary urban issues rather than historical epics]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: contrastAspect
Context triple: [Sixth Generation of Chinese cinema, contrastAspect, focus on contemporary urban issues rather than historical epics]
  • A. contrastUse
    Indicates that one entity is used in opposition or distinction to another to highlight differences between them.
  • B. contrastCharacteristic chosen
    Indicates that two entities are being compared by highlighting opposing or significantly different characteristics between them.
  • C. contrastGoal
    Indicates a relationship where one goal is defined in opposition to, or as a contrasting alternative to, another goal.
  • D. contrastEffect
    Indicates that one entity’s characteristics are perceived or evaluated differently because they are compared or juxtaposed with another entity.
  • E. achievesContrast
    Indicates that one entity creates or enhances a visual or conceptual difference relative to another entity.
  • 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_69e25d16e2c08190a291de254703129e completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f196447a748190bd797ec9baa63fc3 completed April 29, 2026, 5:25 a.m.
PD Predicate disambiguation batch_69effcecabd88190856fb6e1d993e4dd completed April 28, 2026, 12:18 a.m.
Created at: April 17, 2026, 4:58 p.m.