Triple

T5348587
Position Surface form Disambiguated ID Type / Status
Subject DeMille family E124115 entity
Predicate hasGenerationalInfluence P52584 FINISHED
Object multiple generations active in 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: multiple generations active in film | Statement: [DeMille family, hasGenerationalInfluence, multiple generations active in film]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasGenerationalInfluence
Context triple: [DeMille family, hasGenerationalInfluence, multiple generations active in film]
  • A. hasGenerations chosen
    Indicates a relationship where an entity is associated with one or more successive generational levels or cohorts derived from it.
  • B. geneticInfluence
    Indicates that one entity affects or contributes to the genetic traits, characteristics, or heredity of another entity.
  • C. hasSubsequentInfluence
    Indicates that one entity has an influence or effect that occurs after, and is causally or temporally downstream from, another entity or event.
  • D. hasGenerationRelationship
    Indicates that one entity is involved in producing, creating, or giving rise to another entity.
  • E. hasGenreInfluenceOn
    Indicates that one genre has a notable impact on shaping or influencing the characteristics, style, or development of another genre.
  • 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_69bd464be27081908807b40b75c1bbae completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85ef75148190815461c2a49302e9 completed March 20, 2026, 5:37 p.m.
PD Predicate disambiguation batch_69bd845c6f108190832a8d14b356368a completed March 20, 2026, 5:31 p.m.
Created at: March 20, 2026, 2:01 p.m.