Triple

T18161803
Position Surface form Disambiguated ID Type / Status
Subject Ian Silverstein E434782 entity
Predicate productionTypeSpecialization P130702 FINISHED
Object visual-effects-driven films 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: visual-effects-driven films | Statement: [Ian Silverstein, productionTypeSpecialization, visual-effects-driven films]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: productionTypeSpecialization
Context triple: [Ian Silverstein, productionTypeSpecialization, visual-effects-driven films]
  • A. productSpecialization
    Indicates that a product is tailored or adapted to meet the specific needs, preferences, or requirements of a particular market segment, use case, or customer group.
  • B. productionTypeContext
    Indicates the specific production-related circumstances or conditions under which an activity, process, or item is created or carried out.
  • C. productionCategory
    Indicates the classification or type of production process, output, or activity that an entity is associated with.
  • D. typicalProductionType
    Indicates the usual or characteristic type of production activity associated with an entity.
  • E. propertyTypeSpecialization
    Indicates that one property type is a more specific or specialized version of another, more general property type.
  • F. None of above. chosen

Provenance (4 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dec32530819099d906640a07e92c completed April 19, 2026, 1:55 p.m.
PD Predicate disambiguation batch_69e4331baeb88190b21f50a98c36c78e completed April 19, 2026, 1:42 a.m.
PDg Predicate description generation batch_69e438f5ae2c8190b11dee46534fa5a9 completed April 19, 2026, 2:07 a.m.
Created at: April 10, 2026, 10:30 a.m.