Triple

T15876071
Position Surface form Disambiguated ID Type / Status
Subject Khosrow and Shirin E384955 entity
Predicate relatedWork P37 FINISHED
Object Makhzan al-Asrar E625402 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: Makhzan al-Asrar | Statement: [Khosrow and Shirin, relatedWork, Makhzan al-Asrar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Makhzan al-Asrar
Context triple: [Khosrow and Shirin, relatedWork, Makhzan al-Asrar]
  • A. Makhzan al-Asrar chosen
    Makhzan al-Asrar is a didactic Persian masnavi poem by Nizami Ganjavi that explores ethical, philosophical, and mystical themes through stories and reflections.
  • B. Kitab al-Sirr al-Asrar
    Kitab al-Sirr al-Asrar is a seminal medieval Arabic work on alchemy and practical chemistry traditionally attributed to the polymath al-Razi.
  • C. Mafātīḥ al-Ghayb
    Mafātīḥ al-Ghayb is a monumental and highly influential Qur’anic exegesis that combines rigorous theological, philosophical, and linguistic analysis.
  • D. Mashahid al-Asrar
    Mashahid al-Asrar is a seminal mystical treatise by the Sufi philosopher Ibn Arabi that explores visionary experiences and esoteric spiritual insights.
  • E. Kitāb al-Manāẓir
    Kitāb al-Manāẓir is Ibn al-Haytham’s foundational treatise on optics that systematically analyzes vision, light, and perception and profoundly influenced later Islamic and European science.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e155fdc1b881909d1c82c4c66a195a completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa94e9b548190bec74e6d9790d241 completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:51 a.m.