Triple

T7724679
Position Surface form Disambiguated ID Type / Status
Subject Kinan Azmeh E175099 entity
Predicate givenName P17 FINISHED
Object Kinan
Kinan is a given name most notably associated with Syrian clarinetist and composer Kinan Azmeh.
 E684492 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: Kinan | Statement: [Kinan Azmeh, givenName, Kinan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kinan
Context triple: [Kinan Azmeh, givenName, Kinan]
  • A. Kutiyana
    Kutiyana is a town in the Porbandar district of Gujarat, India, known historically as a local trading and administrative center.
  • B. Kykuit
    Kykuit is a historic Rockefeller family estate and grand mansion known for its architecture, art collections, and landscaped gardens overlooking the Hudson River in New York.
  • C. Kaiten
    Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
  • D. Kapyong
    Kapyong is a Korean War battlefield in South Korea renowned for a pivotal 1951 engagement in which outnumbered UN forces, including Canadian troops, halted a major Chinese offensive.
  • E. Kankanay
    Kankanay is an Austronesian language spoken by the Kankanaey people of the northern Philippines, particularly in the Cordillera region of Luzon.
  • 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: Kinan
Triple: [Kinan Azmeh, givenName, Kinan]
Generated description
Kinan is a given name most notably associated with Syrian clarinetist and composer Kinan Azmeh.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kinan
Target entity description: Kinan is a given name most notably associated with Syrian clarinetist and composer Kinan Azmeh.
  • A. Kutiyana
    Kutiyana is a town in the Porbandar district of Gujarat, India, known historically as a local trading and administrative center.
  • B. Kykuit
    Kykuit is a historic Rockefeller family estate and grand mansion known for its architecture, art collections, and landscaped gardens overlooking the Hudson River in New York.
  • C. Kaiten
    Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
  • D. Kapyong
    Kapyong is a Korean War battlefield in South Korea renowned for a pivotal 1951 engagement in which outnumbered UN forces, including Canadian troops, halted a major Chinese offensive.
  • E. Kankanay
    Kankanay is an Austronesian language spoken by the Kankanaey people of the northern Philippines, particularly in the Cordillera region of Luzon.
  • 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_69c6995d541c81909eaa646b1a8369a9 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7031279708190a3a5fb64f9206974 completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b51faa348190b4fa0b5a307c83db completed March 29, 2026, 5:14 a.m.
NEDg Description generation batch_69c8b74ee6d081908454b2d4774a3a7b completed March 29, 2026, 5:23 a.m.
NED2 Entity disambiguation (via description) batch_69c8b7af4c58819097360e89e7ea6062 completed March 29, 2026, 5:25 a.m.
Created at: March 27, 2026, 4:05 p.m.