Triple

T17942469
Position Surface form Disambiguated ID Type / Status
Subject Rıza Nur E448618 entity
Predicate givenName P17 FINISHED
Object Rıza
Rıza is a Turkish masculine given name commonly borne by notable figures in politics, arts, and public life.
E1298843 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: Rıza | Statement: [Rıza Nur, givenName, Rıza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rıza
Context triple: [Rıza Nur, givenName, Rıza]
  • A. Bezmialem Sultan
    Bezmialem Sultan was a prominent 19th-century Ottoman Valide Sultan known for her influential role in imperial politics and extensive philanthropic works, including the founding of major hospitals and charitable institutions.
  • B. Süleyman Askerî Bey
    Süleyman Askerî Bey was an Ottoman military officer and leading figure in the early Special Organization (Teşkilât-ı Mahsusa), active in intelligence and irregular warfare during the late Ottoman period.
  • C. Osmangazi
    Osmangazi is a central metropolitan district of the city of Bursa in northwestern Turkey, known for its historical sites and dense urban development.
  • D. Murad
    Murad is a masculine given name of Arabic origin commonly used in various Muslim-majority cultures.
  • E. Murad
    Murad was an Indian character actor known for his authoritative screen presence in numerous Hindi films from the 1940s through the 1980s.
  • 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: Rıza
Triple: [Rıza Nur, givenName, Rıza]
Generated description
Rıza is a Turkish masculine given name commonly borne by notable figures in politics, arts, and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rıza
Target entity description: Rıza is a Turkish masculine given name commonly borne by notable figures in politics, arts, and public life.
  • A. Bezmialem Sultan
    Bezmialem Sultan was a prominent 19th-century Ottoman Valide Sultan known for her influential role in imperial politics and extensive philanthropic works, including the founding of major hospitals and charitable institutions.
  • B. Süleyman Askerî Bey
    Süleyman Askerî Bey was an Ottoman military officer and leading figure in the early Special Organization (Teşkilât-ı Mahsusa), active in intelligence and irregular warfare during the late Ottoman period.
  • C. Osmangazi
    Osmangazi is a central metropolitan district of the city of Bursa in northwestern Turkey, known for its historical sites and dense urban development.
  • D. Murad
    Murad is a masculine given name of Arabic origin commonly used in various Muslim-majority cultures.
  • E. Murad
    Murad was an Indian character actor known for his authoritative screen presence in numerous Hindi films from the 1940s through the 1980s.
  • 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4ad96a9008190867fac99588c43cf completed April 19, 2026, 10:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a033007eef88190b9aaec43633fde86 completed May 12, 2026, 1:50 p.m.
NEDg Description generation batch_6a0330818ce08190bc2add2f9b13708d completed May 12, 2026, 1:52 p.m.
NED2 Entity disambiguation (via description) batch_6a0331c6ce1881908a026a87d6e0935c completed May 12, 2026, 1:57 p.m.
Created at: April 10, 2026, 10:21 a.m.