Triple

T22527274
Position Surface form Disambiguated ID Type / Status
Subject أحمد مظهر E556939 entity
Predicate نوع_الأدوار P16411 FINISHED
Object أدوار تاريخية 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: أدوار تاريخية | Statement: [أحمد مظهر, نوع_الأدوار, أدوار تاريخية]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: نوع_الأدوار
Context triple: [أحمد مظهر, نوع_الأدوار, أدوار تاريخية]
  • A. როლები
    Indicates that an entity has specific roles, functions, or positions assigned or associated with it in a given context.
  • B. roleOfPeopleOnIt
    Indicates the specific roles or functions that people have in relation to a particular object, event, or context.
  • C. actingRoleType chosen
    Indicates the specific type or category of role an entity performs when acting in a particular capacity or function.
  • D. cultRole
    Indicates that an entity holds a specific role, position, or function within a cult or cult-like group.
  • E. themeRole
    Indicates that an entity is the primary participant undergoing or affected by the action or event expressed by a predicate.
  • 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_69e11e57483c8190b0887c4f8ff26446 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ed411488190a51320930b9805c2 completed April 29, 2026, 1:28 a.m.
PD Predicate disambiguation batch_69e898c864148190a3f5feec7967d49c completed April 22, 2026, 9:45 a.m.
Created at: April 16, 2026, 8:51 p.m.