Triple

T34013855
Position Surface form Disambiguated ID Type / Status
Subject Tawus ibn Kaysan E872185 entity
Predicate madhhabInfluence P178153 FINISHED
Object influenced later Sunni legal thought 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: influenced later Sunni legal thought | Statement: [Tawus ibn Kaysan, madhhabInfluence, influenced later Sunni legal thought]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: madhhabInfluence
Context triple: [Tawus ibn Kaysan, madhhabInfluence, influenced later Sunni legal thought]
  • A. madhhab
    Indicates the school of thought or legal tradition within a broader religious or jurisprudential system that an entity follows or is associated with.
  • B. fatwaEffect
    Indicates the consequences or influence that issuing or receiving a fatwa has on the involved parties or their actions.
  • C. inAlMuwatta
    Indicates that a referenced text, ruling, or narration is found within the Islamic legal compilation Al-Muwatta.
  • D. roleInShiaPiety
    Indicates the specific function, status, or significance an entity holds within Shia religious devotion, practice, or theological understanding.
  • E. doctrinalInfluenceOn
    Indicates that one doctrine has influenced, shaped, or contributed to the development of another doctrine.
  • F. None of above. chosen

Provenance (4 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_69f349a08848819084b348d64c1879c3 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f70c53062c8190b4cb7be22ab00bc7 completed May 3, 2026, 8:50 a.m.
PD Predicate disambiguation batch_69f70abe43e08190b2a30930d96247c1 completed May 3, 2026, 8:43 a.m.
PDg Predicate description generation batch_69f70b94784c8190970d654e066eb50d completed May 3, 2026, 8:47 a.m.
Created at: May 1, 2026, 1:51 a.m.