Triple

T16792920
Position Surface form Disambiguated ID Type / Status
Subject Melih Cevdet Anday E408156 entity
Predicate notableWork P4 FINISHED
Object Yan Yana
Yan Yana is a notable literary work by Turkish poet and writer Melih Cevdet Anday.
 E1233238 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: Yan Yana | Statement: [Melih Cevdet Anday, notableWork, Yan Yana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yan Yana
Context triple: [Melih Cevdet Anday, notableWork, Yan Yana]
  • A. Yana
    Yana is a professor character from the Doctor Who universe whose true identity is central to a major plot twist.
  • B. Yana
    Yana is a small family of extinct Native American languages once spoken in northern California.
  • C. Yan
    Yan is a Chinese surname historically borne by various notable figures and families across different regions of China.
  • D. Yan
    Yan was an ancient Chinese state during the Zhou dynasty era, located in the northeast and later annexed by the expanding Qin state in the late 3rd century BCE.
  • E. Yanaoca
    Yanaoca is a small Andean town in southern Peru that serves as the administrative and commercial center of Canas Province in the Cusco Region.
  • 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: Yan Yana
Triple: [Melih Cevdet Anday, notableWork, Yan Yana]
Generated description
Yan Yana is a notable literary work by Turkish poet and writer Melih Cevdet Anday.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yan Yana
Target entity description: Yan Yana is a notable literary work by Turkish poet and writer Melih Cevdet Anday.
  • A. Yana
    Yana is a professor character from the Doctor Who universe whose true identity is central to a major plot twist.
  • B. Yana
    Yana is a small family of extinct Native American languages once spoken in northern California.
  • C. Yan
    Yan is a Chinese surname historically borne by various notable figures and families across different regions of China.
  • D. Yan
    Yan was an ancient Chinese state during the Zhou dynasty era, located in the northeast and later annexed by the expanding Qin state in the late 3rd century BCE.
  • E. Yanaoca
    Yanaoca is a small Andean town in southern Peru that serves as the administrative and commercial center of Canas Province in the Cusco Region.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2a7817c8190a53d0cfb5ef66a71 completed April 18, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab0e1e9c8190bb2ef0825b25f6e5 completed May 10, 2026, 3:58 p.m.
NEDg Description generation batch_6a00ac1d18c08190969108e567d6eced completed May 10, 2026, 4:02 p.m.
NED2 Entity disambiguation (via description) batch_6a00acc658f881908db64ebfa5a86f84 completed May 10, 2026, 4:05 p.m.
Created at: April 10, 2026, 5:22 a.m.