Triple

T2264520
Position Surface form Disambiguated ID Type / Status
Subject Osman Zeki Üngör E50114 entity
Predicate familyName P18 FINISHED
Object Üngör
Üngör is the surname of Osman Zeki Üngör, a prominent Turkish composer and conductor known for arranging the Turkish national anthem.
 E251486 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: Üngör | Statement: [Osman Zeki Üngör, familyName, Üngör]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Üngör
Context triple: [Osman Zeki Üngör, familyName, Üngör]
  • A. Seyhun
    Seyhun is the historical name used in Islamic and Central Asian sources for the Syr Darya River, one of the major rivers of Central Asia.
  • B. Enying
    Enying is a small town in central Hungary known for its agricultural surroundings and location within Fejér County.
  • C. Urunga
    Urunga is a small coastal town in New South Wales, Australia, known for its scenic boardwalks, estuary views, and relaxed seaside atmosphere.
  • D. Qara Köz
    Qara Köz is a mysterious and mesmerizing princess whose beauty and influence drive much of the political and romantic intrigue in Salman Rushdie’s novel *The Enchantress of Florence*.
  • E. Guruntum
    Guruntum is a West Chadic language spoken by a relatively small ethnic community in Nigeria.
  • 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: Üngör
Triple: [Osman Zeki Üngör, familyName, Üngör]
Generated description
Üngör is the surname of Osman Zeki Üngör, a prominent Turkish composer and conductor known for arranging the Turkish national anthem.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Üngör
Target entity description: Üngör is the surname of Osman Zeki Üngör, a prominent Turkish composer and conductor known for arranging the Turkish national anthem.
  • A. Seyhun
    Seyhun is the historical name used in Islamic and Central Asian sources for the Syr Darya River, one of the major rivers of Central Asia.
  • B. Enying
    Enying is a small town in central Hungary known for its agricultural surroundings and location within Fejér County.
  • C. Urunga
    Urunga is a small coastal town in New South Wales, Australia, known for its scenic boardwalks, estuary views, and relaxed seaside atmosphere.
  • D. Qara Köz
    Qara Köz is a mysterious and mesmerizing princess whose beauty and influence drive much of the political and romantic intrigue in Salman Rushdie’s novel *The Enchantress of Florence*.
  • E. Guruntum
    Guruntum is a West Chadic language spoken by a relatively small ethnic community in Nigeria.
  • 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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc18ed0708190aa3156e9d35120c3 completed March 7, 2026, 6:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71d243608190bbfe5784fa06e26b completed March 9, 2026, 7:08 a.m.
NEDg Description generation batch_69ae728e46608190b4192519c705bc32 completed March 9, 2026, 7:11 a.m.
NED2 Entity disambiguation (via description) batch_69ae72ff572081909b7c4aebb9e26180 completed March 9, 2026, 7:13 a.m.
Created at: March 4, 2026, 7:48 p.m.