Triple

T9244937
Position Surface form Disambiguated ID Type / Status
Subject Tahsin Özgüç E222165 entity
Predicate spouse P13 FINISHED
Object Nimet Özgüç
Nimet Özgüç was a prominent Turkish archaeologist known for her influential excavations and contributions to the study of Anatolian civilizations.
 E786375 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: Nimet Özgüç | Statement: [Tahsin Özgüç, spouse, Nimet Özgüç]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nimet Özgüç
Context triple: [Tahsin Özgüç, spouse, Nimet Özgüç]
  • A. Zaimoglu
    Zaimoglu is the surname of Feridun Zaimoglu, a prominent German-Turkish author and artist known for his works on migration, identity, and multiculturalism.
  • B. İpekçi
    İpekçi is a Turkish surname most notably associated with prominent journalist and politician İsmail Cem.
  • C. Dursun
    Dursun is a Turkish masculine given name commonly borne by several notable figures in sports, politics, and public life in Turkey.
  • D. Hamit
    Hamit is a Turkish masculine given name historically borne by several notable figures in politics, arts, and academia.
  • E. Korkmaz
    Korkmaz is a Turkish surname most notably associated with former professional footballer and manager Bülent Korkmaz.
  • 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: Nimet Özgüç
Triple: [Tahsin Özgüç, spouse, Nimet Özgüç]
Generated description
Nimet Özgüç was a prominent Turkish archaeologist known for her influential excavations and contributions to the study of Anatolian civilizations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nimet Özgüç
Target entity description: Nimet Özgüç was a prominent Turkish archaeologist known for her influential excavations and contributions to the study of Anatolian civilizations.
  • A. Zaimoglu
    Zaimoglu is the surname of Feridun Zaimoglu, a prominent German-Turkish author and artist known for his works on migration, identity, and multiculturalism.
  • B. İpekçi
    İpekçi is a Turkish surname most notably associated with prominent journalist and politician İsmail Cem.
  • C. Dursun
    Dursun is a Turkish masculine given name commonly borne by several notable figures in sports, politics, and public life in Turkey.
  • D. Hamit
    Hamit is a Turkish masculine given name historically borne by several notable figures in politics, arts, and academia.
  • E. Korkmaz
    Korkmaz is a Turkish surname most notably associated with former professional footballer and manager Bülent Korkmaz.
  • 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_69ca83ee26cc81909ac624e190597d6d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cd03efaa748190973916bd790f6e3a completed April 1, 2026, 11:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077f14804819098f443a2517ad461 completed April 4, 2026, 2:31 a.m.
NEDg Description generation batch_69d07933d26c81909257a4e6a5fe1c6e completed April 4, 2026, 2:36 a.m.
NED2 Entity disambiguation (via description) batch_69d079ed3eb48190b410934b809ebc3d completed April 4, 2026, 2:39 a.m.
Created at: March 30, 2026, 7:30 p.m.