Triple

T633107
Position Surface form Disambiguated ID Type / Status
Subject Turkish literature E15963 entity
Predicate notableAuthor P4290 FINISHED
Object Baki
Baki was a prominent 16th-century Ottoman Turkish poet renowned for his refined ghazals and mastery of classical divan literature.
 E100669 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: Baki | Statement: [Turkish literature, notableAuthor, Baki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Baki
Context triple: [Turkish literature, notableAuthor, Baki]
  • A. Owada
    Owada is a Japanese surname most notably borne by Empress Masako of Japan and her family.
  • B. Hirakata
    Hirakata is a city in Japan located between Osaka and Kyoto, known for its residential suburbs, historical sites, and the popular Hirakata Park amusement park.
  • C. Takatsuki
    Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • D. Kyodai
    Kyodai is the common abbreviated name for Kyoto University, one of Japan’s most prestigious national research universities.
  • E. Naikaku
    Naikaku is the Japanese term for the Cabinet, the executive branch of Japan’s national government headed by the Prime Minister.
  • 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: Baki
Triple: [Turkish literature, notableAuthor, Baki]
Generated description
Baki was a prominent 16th-century Ottoman Turkish poet renowned for his refined ghazals and mastery of classical divan literature.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Baki
Target entity description: Baki was a prominent 16th-century Ottoman Turkish poet renowned for his refined ghazals and mastery of classical divan literature.
  • A. Owada
    Owada is a Japanese surname most notably borne by Empress Masako of Japan and her family.
  • B. Hirakata
    Hirakata is a city in Japan located between Osaka and Kyoto, known for its residential suburbs, historical sites, and the popular Hirakata Park amusement park.
  • C. Takatsuki
    Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • D. Kyodai
    Kyodai is the common abbreviated name for Kyoto University, one of Japan’s most prestigious national research universities.
  • E. Naikaku
    Naikaku is the Japanese term for the Cabinet, the executive branch of Japan’s national government headed by the Prime Minister.
  • 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_69a4935c131c8190a5378c6bf101e8cc completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49ec3b6488190aa0dce216c089a2e completed March 1, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7927c75448190aafcaa955519833c completed March 4, 2026, 2:01 a.m.
NEDg Description generation batch_69a7965d1ce08190a1b6b30ffa23f974 completed March 4, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_69a796b5cf708190ac3d11f80a3af7ce completed March 4, 2026, 2:19 a.m.
Created at: March 1, 2026, 7:35 p.m.