Triple

T7862479
Position Surface form Disambiguated ID Type / Status
Subject Mehmet Ali Birand E182530 entity
Predicate employer P7 FINISHED
Object CNN Türk
CNN Türk is a major Turkish television news channel that provides 24-hour national and international news coverage.
 E695915 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: CNN Türk | Statement: [Mehmet Ali Birand, employer, CNN Türk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CNN Türk
Context triple: [Mehmet Ali Birand, employer, CNN Türk]
  • A. Kanal D
    Kanal D is a major Turkish television channel known for broadcasting popular series, entertainment programs, and news.
  • B. Turkish Wikinews
    Turkish Wikinews is the Turkish-language edition of the Wikinews project, offering collaboratively written, free-content news articles for Turkish-speaking audiences.
  • C. Mashriq TV
    Mashriq TV is a Pashto-language television channel known for broadcasting news, current affairs, and cultural programming to Pashto-speaking audiences.
  • D. Hürriyet
    Hürriyet is one of Turkey’s largest and most influential daily newspapers, known for its wide circulation and mainstream coverage of national and international news.
  • E. ANO TV-Novosti
    ANO TV-Novosti is a Russian state-funded media organization that operates the international television network RT (formerly Russia Today).
  • 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: CNN Türk
Triple: [Mehmet Ali Birand, employer, CNN Türk]
Generated description
CNN Türk is a major Turkish television news channel that provides 24-hour national and international news coverage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CNN Türk
Target entity description: CNN Türk is a major Turkish television news channel that provides 24-hour national and international news coverage.
  • A. Kanal D
    Kanal D is a major Turkish television channel known for broadcasting popular series, entertainment programs, and news.
  • B. Turkish Wikinews
    Turkish Wikinews is the Turkish-language edition of the Wikinews project, offering collaboratively written, free-content news articles for Turkish-speaking audiences.
  • C. Mashriq TV
    Mashriq TV is a Pashto-language television channel known for broadcasting news, current affairs, and cultural programming to Pashto-speaking audiences.
  • D. Hürriyet
    Hürriyet is one of Turkey’s largest and most influential daily newspapers, known for its wide circulation and mainstream coverage of national and international news.
  • E. ANO TV-Novosti
    ANO TV-Novosti is a Russian state-funded media organization that operates the international television network RT (formerly Russia Today).
  • 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_69ca82887fd48190975896bf38c4596b completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb36be5f408190b82a097b0825c57a completed March 31, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b49a7288190ae6758647fb35ac9 completed March 31, 2026, 5:27 a.m.
NEDg Description generation batch_69cb5f1c9ef08190b1b79482f39966c7 completed March 31, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_69cb767b198481909cfc1f7a44e6f0d8 completed March 31, 2026, 7:23 a.m.
Created at: March 30, 2026, 4:53 p.m.