Triple

T7522836
Position Surface form Disambiguated ID Type / Status
Subject Ahmet Necdet Sezer E177814 entity
Predicate familyName P18 FINISHED
Object Sezer
Sezer is a Turkish surname most prominently associated with Ahmet Necdet Sezer, the 10th President of Turkey.
 E670658 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: Sezer | Statement: [Ahmet Necdet Sezer, familyName, Sezer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sezer
Context triple: [Ahmet Necdet Sezer, familyName, Sezer]
  • 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. Dursunbey
    Dursunbey is a town and district in western Turkey known for its forestry, timber production, and rural character within Balıkesir Province.
  • C. Güntekin
    Güntekin is the surname of the renowned Turkish novelist and playwright Reşat Nuri, best known for works such as "Çalıkuşu."
  • D. Gündoğdu
    Gündoğdu is a small settlement located on Marmara Island in northwestern Turkey.
  • E. Ersoy
    Ersoy is a Turkish surname most notably borne by Mehmet Akif Ersoy, the poet of the Turkish National Anthem.
  • 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: Sezer
Triple: [Ahmet Necdet Sezer, familyName, Sezer]
Generated description
Sezer is a Turkish surname most prominently associated with Ahmet Necdet Sezer, the 10th President of Turkey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sezer
Target entity description: Sezer is a Turkish surname most prominently associated with Ahmet Necdet Sezer, the 10th President of Turkey.
  • 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. Dursunbey
    Dursunbey is a town and district in western Turkey known for its forestry, timber production, and rural character within Balıkesir Province.
  • C. Güntekin
    Güntekin is the surname of the renowned Turkish novelist and playwright Reşat Nuri, best known for works such as "Çalıkuşu."
  • D. Gündoğdu
    Gündoğdu is a small settlement located on Marmara Island in northwestern Turkey.
  • E. Ersoy
    Ersoy is a Turkish surname most notably borne by Mehmet Akif Ersoy, the poet of the Turkish National Anthem.
  • 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_69c69f29bf3081909a146aec7755f185 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f7c4f32081908b5162f4551adb6d completed March 27, 2026, 9:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8462d743481909a3cfb6d31d94d98 completed March 28, 2026, 9:20 p.m.
NEDg Description generation batch_69c84765ee64819082d3189c8a768455 completed March 28, 2026, 9:25 p.m.
NED2 Entity disambiguation (via description) batch_69c84828b2c48190a70f3bcd9e7554cc completed March 28, 2026, 9:29 p.m.
Created at: March 27, 2026, 3:46 p.m.