Triple

T21233043
Position Surface form Disambiguated ID Type / Status
Subject Muhteşem Yüzyıl E523271 entity
Predicate hasCastMember P2308 FINISHED
Object Nebahat Çehre
Nebahat Çehre is a renowned Turkish actress and former beauty queen, widely recognized for her roles in prominent Turkish television dramas and films.
E1476912 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: Nebahat Çehre | Statement: [Muhteşem Yüzyıl, hasCastMember, Nebahat Çehre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nebahat Çehre
Context triple: [Muhteşem Yüzyıl, hasCastMember, Nebahat Çehre]
  • A. Nilüfer Hatun
    Nilüfer Hatun was a 14th-century Ottoman consort and influential Valide Hatun, traditionally regarded as the wife of Orhan and mother of Sultan Murad I.
  • B. Emine Hatun
    Emine Hatun was an Ottoman consort known primarily as the wife of Sultan Mehmed I and the mother of Sultan Murad II.
  • C. Zehra Zümrüt
    Zehra Zümrüt is a Turkish politician best known for serving as Turkey’s Minister of Family, Labour and Social Services.
  • D. Şebnem Dönmez
    Şebnem Dönmez is a Turkish actress and television presenter known for her roles in both Turkish productions and international films.
  • E. Hülya Darcan
    Hülya Darcan is a Turkish actress best known internationally for her role as Hayme Ana in the historical TV series "Diriliş: Ertuğrul."
  • 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: Nebahat Çehre
Triple: [Muhteşem Yüzyıl, hasCastMember, Nebahat Çehre]
Generated description
Nebahat Çehre is a renowned Turkish actress and former beauty queen, widely recognized for her roles in prominent Turkish television dramas and films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nebahat Çehre
Target entity description: Nebahat Çehre is a renowned Turkish actress and former beauty queen, widely recognized for her roles in prominent Turkish television dramas and films.
  • A. Nilüfer Hatun
    Nilüfer Hatun was a 14th-century Ottoman consort and influential Valide Hatun, traditionally regarded as the wife of Orhan and mother of Sultan Murad I.
  • B. Emine Hatun
    Emine Hatun was an Ottoman consort known primarily as the wife of Sultan Mehmed I and the mother of Sultan Murad II.
  • C. Zehra Zümrüt
    Zehra Zümrüt is a Turkish politician best known for serving as Turkey’s Minister of Family, Labour and Social Services.
  • D. Şebnem Dönmez
    Şebnem Dönmez is a Turkish actress and television presenter known for her roles in both Turkish productions and international films.
  • E. Hülya Darcan
    Hülya Darcan is a Turkish actress best known internationally for her role as Hayme Ana in the historical TV series "Diriliş: Ertuğrul."
  • 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_69e0b512ad94819087942b2ed925185f completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e734b1524c8190a77eaf2fabd601c3 completed April 21, 2026, 8:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a099ec4d784819082720cd3f7ae061c completed May 17, 2026, 10:56 a.m.
NEDg Description generation batch_6a099f34bfa88190b13e121b1196c672 completed May 17, 2026, 10:57 a.m.
NED2 Entity disambiguation (via description) batch_6a099fd05e0881909929a558f7164a51 completed May 17, 2026, 11 a.m.
Created at: April 16, 2026, 3:45 p.m.