Triple

T1938068
Position Surface form Disambiguated ID Type / Status
Subject Society of Motion Picture and Television Engineers E41488 entity
Predicate areaOfStandardization P19702 FINISHED
Object film 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: film | Statement: [Society of Motion Picture and Television Engineers, areaOfStandardization, film]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: areaOfStandardization
Context triple: [Society of Motion Picture and Television Engineers, areaOfStandardization, film]
  • A. standardizationScope chosen
    Indicates the extent or domain within which a standard or standardization effort is intended to apply or be enforced.
  • B. standardizationInfluence
    Indicates the extent to which one entity’s standards, norms, or standardization efforts shape, guide, or constrain another entity’s practices, processes, or specifications.
  • C. countryOfStandardization
    Indicates that a given standard, specification, or norm is officially established, adopted, or primarily recognized within a particular country.
  • D. standardizedIn
    Indicates that something has been formally defined, regulated, or made uniform within a particular standard, framework, or jurisdiction.
  • E. laterStandardization
    Indicates that one entity becomes standardized or formally established at a later time than 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_69a88649b24c819080047f26b6db2ded completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb2c752fc81909baf38ff1cdeb18c completed March 7, 2026, 5:08 a.m.
PD Predicate disambiguation batch_69abaff07cf88190b4883c5f17f90abd completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:36 p.m.