Triple

T3736778
Position Surface form Disambiguated ID Type / Status
Subject Persian literature E79604 entity
Predicate hasNotableWork P4 FINISHED
Object Layla and Majnun E383806 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: Layla and Majnun | Statement: [Persian literature, hasNotableWork, Layla and Majnun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Layla and Majnun
Context triple: [Persian literature, hasNotableWork, Layla and Majnun]
  • A. Leyli and Majnun chosen
    Leyli and Majnun is a classic Azerbaijani-Turkic narrative poem by Fuzuli that retells the legendary tragic love story of Layla and Majnun within the Islamic literary tradition.
  • B. الكوثر
    الكوثر هو اسم السورة القرآنية الأقصر في المصحف، التي تبشّر النبي محمد صلى الله عليه وسلم بالخير الكثير وتحثّه على الصلاة والنحر.
  • C. Bustan
    Bustan is a celebrated didactic poem by the 13th-century Persian poet Saadi, renowned for its moral tales and reflections on ethics and Sufi philosophy.
  • D. Zang Tumb Tuum
    Zang Tumb Tuum is a 1914 Futurist sound-poetry work by Italian artist F.T. Marinetti, notable for its experimental typographic layout and onomatopoeic evocation of modern warfare.
  • E. Al-Fajr
    Al-Fajr is the 89th chapter of the Qur’an, known for its reflections on past destroyed nations, the consequences of human arrogance, and a powerful oath by the dawn.
  • 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_69ad8b115610819095b02007da5ca3cb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb3d32b081909a993a78b0869db8 completed March 8, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e4f857208190a51b264a5affca3d completed March 14, 2026, 4:32 a.m.
Created at: March 8, 2026, 3:34 p.m.