Triple

T16193222
Position Surface form Disambiguated ID Type / Status
Subject Prophet Yusuf E392994 entity
Predicate nameInArabic P6450 FINISHED
Object يوسف E84738 NE 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: يوسف | Statement: [Prophet Yusuf, nameInArabic, يوسف]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: يوسف
Context triple: [Prophet Yusuf, nameInArabic, يوسف]
  • A. Yusuf
    Yusuf is a skilled chemist and dream architect in the film "Inception," responsible for creating the powerful sedatives used in shared dreaming heists.
  • B. Yusuf
    Yusuf is a common male given name of Arabic origin, widely used in Muslim communities and equivalent to the name Joseph.
  • C. Yusuf chosen
    Yusuf is a revered prophet in Islamic tradition, known for his exemplary patience, prophetic dreams, and the Qur’anic narrative of his trials and rise to power in Egypt.
  • D. Yaqub
    Yaqub is a prophet in Islamic tradition, known as the son of Ishaq (Isaac) and the father of the twelve sons who became the ancestors of the tribes of Israel.
  • E. يوسف والي
    يوسف والي هو سياسي مصري بارز شغل منصب وزير الزراعة ونائب رئيس الوزراء لسنوات طويلة وكان من الوجوه القيادية في عهد حسني مبارك.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222d74d788190a637fdb9b4f184b9 completed April 17, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00078bbc388190b3fb793556ddd75a completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:02 a.m.