Triple

T5947297
Position Surface form Disambiguated ID Type / Status
Subject al-Muʿizz li-Dīn Allāh E132309 entity
Predicate title P38 FINISHED
Object Imam E276444 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: Imam | Statement: [al-Muʿizz li-Dīn Allāh, title, Imam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Imam
Context triple: [al-Muʿizz li-Dīn Allāh, title, Imam]
  • A. Imam chosen
    An Imam is a religious leader in Islam who leads prayers and often provides spiritual guidance to the Muslim community.
  • B. Amir al-Umara
    Amir al-Umara was a high-ranking military and political title in the medieval Islamic world, denoting a supreme commander or de facto ruler who often held power above the nominal caliph.
  • C. Imam Muhammad al-Badr
    Imam Muhammad al-Badr was the last ruling imam and king of the Mutawakkilite Kingdom of Yemen, who led royalist forces against republicans during the North Yemen Civil War in the 1960s.
  • D. Sheikh Obekr
    Sheikh Obekr is a revered religious figure in Yazidism, honored as part of the tradition’s sacred spiritual lineage.
  • E. حسن الإمام
    حسن الإمام هو مخرج سينمائي مصري بارز عُرف بأفلامه الميلودرامية الشعبية وإخراجه لعدد من كلاسيكيات السينما المصرية في الخمسينيات والستينيات.
  • 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_69c00869d3308190af89b2453e0f7546 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0397c80708190a4778fdb353314b7 completed March 22, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3c4120c8190bab97f91a7bc7030 completed March 23, 2026, 6:55 a.m.
Created at: March 22, 2026, 4:01 p.m.