Triple

T21574328
Position Surface form Disambiguated ID Type / Status
Subject Haft Awrang E532358 entity
Predicate notableCharacter P1481 FINISHED
Object Layli
Layli is a legendary lover in classical Persian literature, most famously featured in the tragic romance of "Layli and Majnun."
 E1491592 NE FINISHED

How this triple was built (4 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: Layli | Statement: [Haft Awrang, notableCharacter, Layli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Layli
Context triple: [Haft Awrang, notableCharacter, Layli]
  • A. Suleika
    Suleika is a central poetic figure in Goethe’s "West–östlicher Divan," inspired by the persona of Marianne von Willemer and emblematic of the collection’s East–West lyrical dialogue on love and spirituality.
  • B. Lyla
    "Lyla" is a song by the English rock band Oasis, featured on their 2005 album "Don't Believe the Truth."
  • C. Lyla
    Lyla is a feminine given name commonly used in English-speaking countries, often associated with variations like Lila or Lilah.
  • D. 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.
  • E. Leila
    Leila is a tragic female character in Lord Byron’s narrative poem "The Giaour," whose fate embodies themes of forbidden love, betrayal, and vengeance.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Layli
Triple: [Haft Awrang, notableCharacter, Layli]
Generated description
Layli is a legendary lover in classical Persian literature, most famously featured in the tragic romance of "Layli and Majnun."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Layli
Target entity description: Layli is a legendary lover in classical Persian literature, most famously featured in the tragic romance of "Layli and Majnun."
  • A. Suleika
    Suleika is a central poetic figure in Goethe’s "West–östlicher Divan," inspired by the persona of Marianne von Willemer and emblematic of the collection’s East–West lyrical dialogue on love and spirituality.
  • B. Lyla
    "Lyla" is a song by the English rock band Oasis, featured on their 2005 album "Don't Believe the Truth."
  • C. Lyla
    Lyla is a feminine given name commonly used in English-speaking countries, often associated with variations like Lila or Lilah.
  • D. 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.
  • E. Leila
    Leila is a tragic female character in Lord Byron’s narrative poem "The Giaour," whose fate embodies themes of forbidden love, betrayal, and vengeance.
  • F. None of above. chosen

Provenance (5 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_69e0c4618bec8190bcb0feb74568cbb1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eee9cef2748190990a81967d49b706 completed April 27, 2026, 4:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09f6749c4081909973b252caf7c61f completed May 17, 2026, 5:10 p.m.
NEDg Description generation batch_6a09f751415c8190b8cb2880e441353f completed May 17, 2026, 5:13 p.m.
NED2 Entity disambiguation (via description) batch_6a09f7e525a88190a37680187b5b0916 completed May 17, 2026, 5:16 p.m.
Created at: April 16, 2026, 6:30 p.m.