Triple

T3649864
Position Surface form Disambiguated ID Type / Status
Subject Joseph E77392 entity
Predicate hasVariant P455 FINISHED
Object Yousuf E285553 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: Yousuf | Statement: [Joseph, hasVariant, Yousuf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yousuf
Context triple: [Joseph, hasVariant, Yousuf]
  • A. Yusuf chosen
    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 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.
  • C. Yasin
    Yasin is a central character in Naguib Mahfouz's novel "Palace of Desire," known as the pleasure-seeking, impulsive son of the patriarch al-Sayyid Ahmad Abd al-Jawad.
  • D. Hussain
    Hussain is a common given name and surname of Arabic origin, widely used in Muslim communities around the world.
  • E. Yahya
    Yahya is the Islamic prophet identified with John the Baptist, revered for his piety, asceticism, and role in heralding the coming of Prophet Isa (Jesus).
  • 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_69ad85def5cc8190863dccf55a18bebb completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc38fa1988190b630329700afc3dd completed March 8, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b488394aa48190b91985aa912cf733 completed March 13, 2026, 9:57 p.m.
Created at: March 8, 2026, 3:24 p.m.