Triple

T3728673
Position Surface form Disambiguated ID Type / Status
Subject My Name Is Red E79009 entity
Predicate publisher P29 FINISHED
Object İletişim Yayınları
İletişim Yayınları is a prominent Turkish publishing house known for releasing influential works of literature, social sciences, and critical thought.
 E383811 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: İletişim Yayınları | Statement: [My Name Is Red, publisher, İletişim Yayınları]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: İletişim Yayınları
Context triple: [My Name Is Red, publisher, İletişim Yayınları]
  • A. Priboi Publishers
    Priboi Publishers was a Soviet-era publishing house known for issuing political and ideological works, including key texts by Vladimir Lenin.
  • B. Türk Dil Kurumu
    Türk Dil Kurumu is Turkey’s official language institution responsible for researching, standardizing, and developing the Turkish language.
  • C. Rüya Pamuk
    Rüya Pamuk is the daughter of Nobel Prize–winning Turkish novelist Orhan Pamuk.
  • D. Weltkreis Verlag
    Weltkreis Verlag is a German publishing house known for issuing philosophical and academic works, including classic texts in analytic philosophy.
  • E. Gyldendal
    Gyldendal is a major Scandinavian publishing house, best known as one of the oldest and most influential literary publishers in Norway and Denmark.
  • 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: İletişim Yayınları
Triple: [My Name Is Red, publisher, İletişim Yayınları]
Generated description
İletişim Yayınları is a prominent Turkish publishing house known for releasing influential works of literature, social sciences, and critical thought.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: İletişim Yayınları
Target entity description: İletişim Yayınları is a prominent Turkish publishing house known for releasing influential works of literature, social sciences, and critical thought.
  • A. Priboi Publishers
    Priboi Publishers was a Soviet-era publishing house known for issuing political and ideological works, including key texts by Vladimir Lenin.
  • B. Türk Dil Kurumu
    Türk Dil Kurumu is Turkey’s official language institution responsible for researching, standardizing, and developing the Turkish language.
  • C. Rüya Pamuk
    Rüya Pamuk is the daughter of Nobel Prize–winning Turkish novelist Orhan Pamuk.
  • D. Weltkreis Verlag
    Weltkreis Verlag is a German publishing house known for issuing philosophical and academic works, including classic texts in analytic philosophy.
  • E. Gyldendal
    Gyldendal is a major Scandinavian publishing house, best known as one of the oldest and most influential literary publishers in Norway and Denmark.
  • 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_69ad8b0e4650819090ad7cef094285e8 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcaf921bc81908bb347d6b9204670 completed March 8, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db13d34881909fa74c682184b797 completed March 14, 2026, 3:50 a.m.
NEDg Description generation batch_69b4dbded2c8819084c26ae2ec1c19b3 completed March 14, 2026, 3:54 a.m.
NED2 Entity disambiguation (via description) batch_69b4dc9b80f8819083074657a32798a4 completed March 14, 2026, 3:57 a.m.
Created at: March 8, 2026, 3:34 p.m.