Triple

T22526192
Position Surface form Disambiguated ID Type / Status
Subject صفوت الشريف E556909 entity
Predicate أشرف على P20679 FINISHED
Object سياسات التليفزيون المصري الرسمية 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: سياسات التليفزيون المصري الرسمية | Statement: [صفوت الشريف, أشرف على, سياسات التليفزيون المصري الرسمية]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: أشرف على
Context triple: [صفوت الشريف, أشرف على, سياسات التليفزيون المصري الرسمية]
  • A. oversee chosen
    Indicates having responsibility for supervising, directing, or managing the actions or work of another entity.
  • B. oversawEvent
    Indicates that an entity had supervisory or managerial responsibility for the planning, execution, or overall conduct of an event.
  • C. oversawArea
    Indicates that one entity had supervisory or managerial responsibility over a particular area, region, or domain associated with another entity.
  • D. oversawPolicy
    Indicates that one entity had supervisory or managerial responsibility for the creation, implementation, or maintenance of a policy affecting another entity or domain.
  • E. oversawDocument
    Indicates that one entity supervised, managed, or had responsibility for the creation, handling, or review of a document associated with 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_69e11e5657e881909f16ca58352c50da completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ed352b48190a96ef2896f2978cd completed April 29, 2026, 1:28 a.m.
PD Predicate disambiguation batch_69ee625e3b408190a60c759fb0b28fe2 completed April 26, 2026, 7:07 p.m.
Created at: April 16, 2026, 8:51 p.m.