Triple

T641260
Position Surface form Disambiguated ID Type / Status
Subject Academy Award for Best Documentary Feature E16743 entity
Predicate hasRuntimeRequirement P5499 FINISHED
Object minimum 40 minutes 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: minimum 40 minutes | Statement: [Academy Award for Best Documentary Feature, hasRuntimeRequirement, minimum 40 minutes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRuntimeRequirement
Context triple: [Academy Award for Best Documentary Feature, hasRuntimeRequirement, minimum 40 minutes]
  • A. hasFeature
    Indicates that an entity possesses, exhibits, or includes a particular characteristic, attribute, or component.
  • B. hasSupported
    Indicates that one entity has provided assistance, endorsement, or backing to another entity, either materially, emotionally, or through advocacy.
  • C. hasConformanceRequirements chosen
    Indicates that an entity is subject to specific rules, standards, or criteria that it must satisfy or comply with.
  • D. hasDependency
    Indicates that one entity relies on or requires another entity in order to function, exist, or be fulfilled.
  • E. requiresSoftware
    Indicates that one entity depends on specific software being present or installed in order to function, operate, or be used.
  • 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_69a4936be1c88190af56540324b57da7 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49f02bc2c8190b8a92b2505768c19 completed March 1, 2026, 8:18 p.m.
PD Predicate disambiguation batch_69a49d0830008190a26ee158ed4dd1fe completed March 1, 2026, 8:09 p.m.
Created at: March 1, 2026, 7:36 p.m.