Triple

T15828550
Position Surface form Disambiguated ID Type / Status
Subject Leyli and Majnun E383806 entity
Predicate mainCharacter P1183 FINISHED
Object Leyli 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: Leyli | Statement: [Leyli and Majnun, mainCharacter, Leyli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leyli
Context triple: [Leyli and Majnun, mainCharacter, Leyli]
  • A. Djamileh
    Djamileh is a one-act comic opera by Georges Bizet, known for its exotic setting and richly expressive orchestration.
  • B. Mir Damad
    Mir Damad was a prominent 16th–17th century Persian philosopher and theologian of the Safavid era, regarded as a leading figure of the School of Isfahan and a key architect of later Islamic philosophical thought.
  • C. El Leila
    El Leila is a popular Arabic pop song and album by Egyptian singer Amr Diab, known for its catchy melody and widespread success in the Middle East.
  • D. 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.
  • E. Leyla
    "Leyla" is a novel by German-Turkish author Feridun Zaimoglu that explores themes of migration, identity, and womanhood through the life story of its titular protagonist.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e11e61c7508190ba1f675f2092364c completed April 16, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff999f9ccc8190bc859c2b78a16baf completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:49 a.m.