Triple

T2329846
Position Surface form Disambiguated ID Type / Status
Subject Necmettin Bilal Erdoğan E48376 entity
Predicate givenName P17 FINISHED
Object Necmettin Bilal
Necmettin Bilal is a Turkish businessman best known as the son of Turkey’s long-serving president, Recep Tayyip Erdoğan.
 E312592 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: Necmettin Bilal | Statement: [Necmettin Bilal Erdoğan, givenName, Necmettin Bilal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Necmettin Bilal
Context triple: [Necmettin Bilal Erdoğan, givenName, Necmettin Bilal]
  • A. Ahmet Necdet Sezer
    Ahmet Necdet Sezer is a Turkish jurist and politician who served as the 10th President of Turkey from 2000 to 2007.
  • B. Mehmet Ragif
    Mehmet Ragif is the birth name of Mehmet Akif Ersoy, the renowned Turkish poet, writer, and author of the Turkish National Anthem.
  • C. Bülent Arınç
    Bülent Arınç is a Turkish politician and lawyer who served as Speaker of the Grand National Assembly and as a prominent member of the Justice and Development Party (AKP).
  • D. Tarık Akan
    Tarık Akan was a prominent Turkish film actor and producer known for his leading roles in 1970s–80s Turkish cinema and his later work in socially conscious films.
  • E. Nurettin Sözen
    Nurettin Sözen is a Turkish politician and medical doctor who served as the mayor of Istanbul in the early 1990s.
  • 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: Necmettin Bilal
Triple: [Necmettin Bilal Erdoğan, givenName, Necmettin Bilal]
Generated description
Necmettin Bilal is a Turkish businessman best known as the son of Turkey’s long-serving president, Recep Tayyip Erdoğan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Necmettin Bilal
Target entity description: Necmettin Bilal is a Turkish businessman best known as the son of Turkey’s long-serving president, Recep Tayyip Erdoğan.
  • A. Ahmet Necdet Sezer
    Ahmet Necdet Sezer is a Turkish jurist and politician who served as the 10th President of Turkey from 2000 to 2007.
  • B. Mehmet Ragif
    Mehmet Ragif is the birth name of Mehmet Akif Ersoy, the renowned Turkish poet, writer, and author of the Turkish National Anthem.
  • C. Bülent Arınç
    Bülent Arınç is a Turkish politician and lawyer who served as Speaker of the Grand National Assembly and as a prominent member of the Justice and Development Party (AKP).
  • D. Tarık Akan
    Tarık Akan was a prominent Turkish film actor and producer known for his leading roles in 1970s–80s Turkish cinema and his later work in socially conscious films.
  • E. Nurettin Sözen
    Nurettin Sözen is a Turkish politician and medical doctor who served as the mayor of Istanbul in the early 1990s.
  • 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_69a88aa308a88190b0b86c011fda7fce completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc667235c819086140af9db961203 completed March 7, 2026, 6:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0861707ec81908f3823ac4f04d4d6 completed March 10, 2026, 8:59 p.m.
NEDg Description generation batch_69b0b2a8502c819083bbe3eb12dadaf2 completed March 11, 2026, 12:09 a.m.
NED2 Entity disambiguation (via description) batch_69b0b3003b608190a578ebfbdc12059e completed March 11, 2026, 12:10 a.m.
Created at: March 4, 2026, 7:50 p.m.