Triple

T9046385
Position Surface form Disambiguated ID Type / Status
Subject Nuri Bilge Ceylan E216764 entity
Predicate spouse P13 FINISHED
Object Ebru Ceylan
Ebru Ceylan is a Turkish photographer, screenwriter, and actress known for her creative collaborations on the acclaimed films of director Nuri Bilge Ceylan.
E774369 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: Ebru Ceylan | Statement: [Nuri Bilge Ceylan, spouse, Ebru Ceylan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ebru Ceylan
Context triple: [Nuri Bilge Ceylan, spouse, Ebru Ceylan]
  • A. Yasemin Erkut
    Yasemin Erkut is known as the spouse of the late Turkish actor and prominent cinema figure Tarık Akan.
  • B. Cemre Birand
    Cemre Birand is known as the wife of prominent Turkish journalist and television presenter Mehmet Ali Birand.
  • C. Nesrin Cansever
    Nesrin Cansever is known as the wife of prominent Turkish modernist poet Edip Cansever.
  • D. Canan Karatay
    Canan Karatay is a Turkish cardiologist and academic known for her influential and often controversial views on nutrition and healthy living.
  • E. Gonca Dündar
    Gonca Dündar is known as the spouse of prominent Turkish journalist and television presenter Uğur Dündar.
  • 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: Ebru Ceylan
Triple: [Nuri Bilge Ceylan, spouse, Ebru Ceylan]
Generated description
Ebru Ceylan is a Turkish photographer, screenwriter, and actress known for her creative collaborations on the acclaimed films of director Nuri Bilge Ceylan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ebru Ceylan
Target entity description: Ebru Ceylan is a Turkish photographer, screenwriter, and actress known for her creative collaborations on the acclaimed films of director Nuri Bilge Ceylan.
  • A. Yasemin Erkut
    Yasemin Erkut is known as the spouse of the late Turkish actor and prominent cinema figure Tarık Akan.
  • B. Cemre Birand
    Cemre Birand is known as the wife of prominent Turkish journalist and television presenter Mehmet Ali Birand.
  • C. Nesrin Cansever
    Nesrin Cansever is known as the wife of prominent Turkish modernist poet Edip Cansever.
  • D. Canan Karatay
    Canan Karatay is a Turkish cardiologist and academic known for her influential and often controversial views on nutrition and healthy living.
  • E. Gonca Dündar
    Gonca Dündar is known as the spouse of prominent Turkish journalist and television presenter Uğur Dündar.
  • 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_69ca83d22d488190adbce5e020e9cd1d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b4e4b888190a425e29b193b506f completed April 1, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfebb7f668819099125ab727cd50b1 completed April 3, 2026, 4:32 p.m.
NEDg Description generation batch_69cfed8970448190b3deac1d8f46c639 completed April 3, 2026, 4:40 p.m.
NED2 Entity disambiguation (via description) batch_69cfedf299908190852cc627fd7134b9 completed April 3, 2026, 4:42 p.m.
Created at: March 30, 2026, 7:09 p.m.