Triple

T10528952
Position Surface form Disambiguated ID Type / Status
Subject Chancellor of Carleton University E248381 entity
Predicate officeHoldersInclude P537 FINISHED
Object Yaprak Baltacıoğlu
Yaprak Baltacıoğlu is a Turkish-Canadian public servant and academic leader who serves as the chancellor of Carleton University.
 E869587 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: Yaprak Baltacıoğlu | Statement: [Chancellor of Carleton University, officeHoldersInclude, Yaprak Baltacıoğlu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yaprak Baltacıoğlu
Context triple: [Chancellor of Carleton University, officeHoldersInclude, Yaprak Baltacıoğlu]
  • A. Yaprak Üregül
    Yaprak Üregül is known as the child of the late Turkish cinema icon Tarık Akan.
  • B. Gonca Dündar
    Gonca Dündar is known as the spouse of prominent Turkish journalist and television presenter Uğur Dündar.
  • C. Melih Gökçek
    Melih Gökçek is a Turkish politician best known for his long tenure as the mayor of Ankara and his prominent role in conservative Islamist politics.
  • D. Emine Gülizar Emecan
    Emine Gülizar Emecan is a Turkish politician known for her role as a member of the Grand National Assembly of Turkey.
  • E. Cemre Birand
    Cemre Birand is known as the wife of prominent Turkish journalist and television presenter Mehmet Ali Birand.
  • 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: Yaprak Baltacıoğlu
Triple: [Chancellor of Carleton University, officeHoldersInclude, Yaprak Baltacıoğlu]
Generated description
Yaprak Baltacıoğlu is a Turkish-Canadian public servant and academic leader who serves as the chancellor of Carleton University.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yaprak Baltacıoğlu
Target entity description: Yaprak Baltacıoğlu is a Turkish-Canadian public servant and academic leader who serves as the chancellor of Carleton University.
  • A. Yaprak Üregül
    Yaprak Üregül is known as the child of the late Turkish cinema icon Tarık Akan.
  • B. Gonca Dündar
    Gonca Dündar is known as the spouse of prominent Turkish journalist and television presenter Uğur Dündar.
  • C. Melih Gökçek
    Melih Gökçek is a Turkish politician best known for his long tenure as the mayor of Ankara and his prominent role in conservative Islamist politics.
  • D. Emine Gülizar Emecan
    Emine Gülizar Emecan is a Turkish politician known for her role as a member of the Grand National Assembly of Turkey.
  • E. Cemre Birand
    Cemre Birand is known as the wife of prominent Turkish journalist and television presenter Mehmet Ali Birand.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509f6f4a88190ae6e0cc0bcbff0c5 completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e3caf4c8190b19199f1a68a00de completed April 10, 2026, 2:50 p.m.
NEDg Description generation batch_69d9107e8b94819086ebba1675a0db54 completed April 10, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_69d911a16b1481909197b00c30de48c4 completed April 10, 2026, 3:05 p.m.
Created at: April 6, 2026, 12:30 p.m.