Triple

T16294100
Position Surface form Disambiguated ID Type / Status
Subject Tomris Uyar E395601 entity
Predicate notableWork P4 FINISHED
Object İpek ve Bakır
İpek ve Bakır is a short story collection by Turkish writer Tomris Uyar, known for its nuanced exploration of everyday life, relationships, and the inner worlds of modern individuals.
 E1205729 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: İpek ve Bakır | Statement: [Tomris Uyar, notableWork, İpek ve Bakır]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: İpek ve Bakır
Context triple: [Tomris Uyar, notableWork, İpek ve Bakır]
  • A. İpek
    İpek is a fictional character who serves as the love interest of Ka in Orhan Pamuk’s novel "Snow."
  • B. Silk
    Silk is a British legal drama television series centered on the personal and professional lives of barristers in London.
  • C. Silk
    Silk is a popular plant-based food and beverage brand known for its soy, almond, oat, and other non-dairy milk alternatives.
  • D. Silk
    Silk is an American R&B group best known for their smooth harmonies and 1990s slow jams like the hit single "Freak Me."
  • E. Silk
    Silk is a surname of English origin borne by various individuals, including American ice hockey player Dave Silk.
  • 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: İpek ve Bakır
Triple: [Tomris Uyar, notableWork, İpek ve Bakır]
Generated description
İpek ve Bakır is a short story collection by Turkish writer Tomris Uyar, known for its nuanced exploration of everyday life, relationships, and the inner worlds of modern individuals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: İpek ve Bakır
Target entity description: İpek ve Bakır is a short story collection by Turkish writer Tomris Uyar, known for its nuanced exploration of everyday life, relationships, and the inner worlds of modern individuals.
  • A. İpek
    İpek is a fictional character who serves as the love interest of Ka in Orhan Pamuk’s novel "Snow."
  • B. Silk
    Silk is a British legal drama television series centered on the personal and professional lives of barristers in London.
  • C. Silk
    Silk is a popular plant-based food and beverage brand known for its soy, almond, oat, and other non-dairy milk alternatives.
  • D. Silk
    Silk is an American R&B group best known for their smooth harmonies and 1990s slow jams like the hit single "Freak Me."
  • E. Silk
    Silk is a surname of English origin borne by various individuals, including American ice hockey player Dave Silk.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e2c255881909d99c43770475329 completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f9965b8819080278ccef15288aa completed May 10, 2026, 6:03 a.m.
NEDg Description generation batch_6a0021459c4081908e4c1d2e0bc8a5be completed May 10, 2026, 6:10 a.m.
NED2 Entity disambiguation (via description) batch_6a0022247e908190842ca6186b4e9c4c completed May 10, 2026, 6:13 a.m.
Created at: April 10, 2026, 5:05 a.m.