Triple

T9475033
Position Surface form Disambiguated ID Type / Status
Subject Ali Babacan E228493 entity
Predicate spouse P13 FINISHED
Object Zeynep Babacan
Zeynep Babacan is the wife of Turkish politician and former deputy prime minister Ali Babacan.
 E801179 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: Zeynep Babacan | Statement: [Ali Babacan, spouse, Zeynep Babacan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zeynep Babacan
Context triple: [Ali Babacan, spouse, Zeynep Babacan]
  • A. Hülya Koçyiğit
    Hülya Koçyiğit is a renowned Turkish film and television actress, celebrated as one of the leading stars of Yeşilçam-era cinema.
  • B. Oya Baydar
    Oya Baydar is a prominent Turkish novelist, sociologist, and political activist known for her socially engaged fiction and critical commentary on Turkey’s political landscape.
  • C. Esra Erdoğan
    Esra Erdoğan is the daughter of Turkish President Recep Tayyip Erdoğan and a public figure involved in educational and social initiatives in Turkey.
  • D. Sema Erdoğan
    Sema Erdoğan is known as the wife of Ahmet Burak Erdoğan, the son of Turkish President Recep Tayyip Erdoğan.
  • E. Nazmiye Demirel
    Nazmiye Demirel was the longtime wife of former Turkish president and prime minister Süleyman Demirel and served as Turkey’s First Lady during his terms in office.
  • 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: Zeynep Babacan
Triple: [Ali Babacan, spouse, Zeynep Babacan]
Generated description
Zeynep Babacan is the wife of Turkish politician and former deputy prime minister Ali Babacan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zeynep Babacan
Target entity description: Zeynep Babacan is the wife of Turkish politician and former deputy prime minister Ali Babacan.
  • A. Hülya Koçyiğit
    Hülya Koçyiğit is a renowned Turkish film and television actress, celebrated as one of the leading stars of Yeşilçam-era cinema.
  • B. Oya Baydar
    Oya Baydar is a prominent Turkish novelist, sociologist, and political activist known for her socially engaged fiction and critical commentary on Turkey’s political landscape.
  • C. Esra Erdoğan
    Esra Erdoğan is the daughter of Turkish President Recep Tayyip Erdoğan and a public figure involved in educational and social initiatives in Turkey.
  • D. Sema Erdoğan
    Sema Erdoğan is known as the wife of Ahmet Burak Erdoğan, the son of Turkish President Recep Tayyip Erdoğan.
  • E. Nazmiye Demirel
    Nazmiye Demirel was the longtime wife of former Turkish president and prime minister Süleyman Demirel and served as Turkey’s First Lady during his terms in office.
  • 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_69ca847162c48190b079076c9595513c completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7ff39f48819087e696c2c1ffe638 completed April 1, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d122dbd4948190af434d1e0a281f35 completed April 4, 2026, 2:40 p.m.
NEDg Description generation batch_69d124e924d4819093fc8fea75cce4cb completed April 4, 2026, 2:49 p.m.
NED2 Entity disambiguation (via description) batch_69d1253e56b4819096a38ffd094af266 completed April 4, 2026, 2:50 p.m.
Created at: March 30, 2026, 7:54 p.m.