Triple

T30332508
Position Surface form Disambiguated ID Type / Status
Subject Joseph Patrick Carrol Naish E771521 entity
Predicate ethnicRoleSpecialization P34425 FINISHED
Object portrayed a wide range of ethnic characters 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: portrayed a wide range of ethnic characters | Statement: [Joseph Patrick Carrol Naish, ethnicRoleSpecialization, portrayed a wide range of ethnic characters]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ethnicRoleSpecialization
Context triple: [Joseph Patrick Carrol Naish, ethnicRoleSpecialization, portrayed a wide range of ethnic characters]
  • A. roleTypeSpecialization
    Indicates that one role type is a more specific or specialized version of another, more general role type.
  • B. specialRole
    Indicates that an entity holds a distinctive or exceptional function, status, or responsibility in relation to another entity or context.
  • C. ethnicRole chosen
    Indicates a role, function, or social position that is specifically associated with or defined by an entity’s ethnicity.
  • D. positionSpecialization
    Indicates that one position is a more specialized or focused variant of another, broader position.
  • E. mainCharacterSpecialization
    Indicates the specific role, class, or area of expertise that the main character is focused on or specialized in.
  • 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_69f2248aba24819095bb86480d55b23b completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f760a35b988190904e6267553ad2fe completed May 3, 2026, 2:50 p.m.
PD Predicate disambiguation batch_69f75eb3d6f081908c933474eb359e3d completed May 3, 2026, 2:41 p.m.
Created at: April 29, 2026, 7:53 p.m.