Triple

T13287852
Position Surface form Disambiguated ID Type / Status
Subject Ottoman Divan literature E316487 entity
Predicate hasNotablePoet P4290 FINISHED
Object Naili-i Kadim
Naili-i Kadim was a prominent 17th-century Ottoman Divan poet known for his intricate, refined style and influential contributions to classical Turkish literature.
 E1032983 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: Naili-i Kadim | Statement: [Ottoman Divan literature, hasNotablePoet, Naili-i Kadim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Naili-i Kadim
Context triple: [Ottoman Divan literature, hasNotablePoet, Naili-i Kadim]
  • A. Ma’di
    Ma’di is a Central Sudanic language spoken primarily by the Ma’di people in parts of South Sudan and Uganda.
  • B. Tarih-i Kadim
    Tarih-i Kadim is a famous long poem by Ottoman-Turkish poet Tevfik Fikret that critically questions religious dogma and traditional views of history.
  • C. Sanakhte
    Sanakhte was an early ancient Egyptian pharaoh traditionally associated with the 3rd Dynasty and sometimes considered a predecessor or relative of Djoser.
  • D. Masaesyli
    Masaesyli was an ancient Berber kingdom in North Africa that preceded and formed part of what later became Numidia.
  • E. Seghanasar
    Seghanasar is a mountain peak located within Armenia’s Gegham mountain range.
  • 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: Naili-i Kadim
Triple: [Ottoman Divan literature, hasNotablePoet, Naili-i Kadim]
Generated description
Naili-i Kadim was a prominent 17th-century Ottoman Divan poet known for his intricate, refined style and influential contributions to classical Turkish literature.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Naili-i Kadim
Target entity description: Naili-i Kadim was a prominent 17th-century Ottoman Divan poet known for his intricate, refined style and influential contributions to classical Turkish literature.
  • A. Ma’di
    Ma’di is a Central Sudanic language spoken primarily by the Ma’di people in parts of South Sudan and Uganda.
  • B. Tarih-i Kadim
    Tarih-i Kadim is a famous long poem by Ottoman-Turkish poet Tevfik Fikret that critically questions religious dogma and traditional views of history.
  • C. Sanakhte
    Sanakhte was an early ancient Egyptian pharaoh traditionally associated with the 3rd Dynasty and sometimes considered a predecessor or relative of Djoser.
  • D. Masaesyli
    Masaesyli was an ancient Berber kingdom in North Africa that preceded and formed part of what later became Numidia.
  • E. Seghanasar
    Seghanasar is a mountain peak located within Armenia’s Gegham mountain range.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99076aeec8190b0cb883ab60d3f6b completed April 11, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716d4a6f48190a2020e11e887be2e completed May 3, 2026, 9:35 a.m.
NEDg Description generation batch_69f717b7b6dc8190ab323c1926dd9adb completed May 3, 2026, 9:39 a.m.
NED2 Entity disambiguation (via description) batch_69f7186b6218819096c67e9dd9af609f completed May 3, 2026, 9:42 a.m.
Created at: April 9, 2026, 9:27 p.m.