Triple

T15895241
Position Surface form Disambiguated ID Type / Status
Subject Huzur E385436 entity
Predicate protagonist P268 FINISHED
Object Mümtaz
Mümtaz is the introspective, intellectual central character of Ahmet Hamdi Tanpınar’s novel "Huzur," embodying the cultural and psychological tensions of early 20th-century Istanbul.
E1182889 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: Mümtaz | Statement: [Huzur, protagonist, Mümtaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mümtaz
Context triple: [Huzur, protagonist, Mümtaz]
  • A. Mirza
    Mirza is a historical noble title of Persian and Central Asian origin, commonly borne by princes and high-ranking members of royal and aristocratic families.
  • B. Tahsin
    Tahsin is a masculine given name of Turkish and Arabic origin, commonly used in Turkey and other Muslim-majority countries.
  • C. Fazl
    Fazl is the given name of Fazl-e-Haq Khairabadi, a 19th-century Indian Islamic scholar, philosopher, and prominent figure in the Indian Rebellion of 1857.
  • D. Alaeddin
    Alaeddin was an early Ottoman statesman and son of Osman I, often regarded as the first Ottoman grand vizier.
  • E. Mustafa
    Mustafa is the given birth name of Mustafa Kemal Atatürk, the founder and first president of the Republic of Turkey.
  • 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: Mümtaz
Triple: [Huzur, protagonist, Mümtaz]
Generated description
Mümtaz is the introspective, intellectual central character of Ahmet Hamdi Tanpınar’s novel "Huzur," embodying the cultural and psychological tensions of early 20th-century Istanbul.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mümtaz
Target entity description: Mümtaz is the introspective, intellectual central character of Ahmet Hamdi Tanpınar’s novel "Huzur," embodying the cultural and psychological tensions of early 20th-century Istanbul.
  • A. Mirza
    Mirza is a historical noble title of Persian and Central Asian origin, commonly borne by princes and high-ranking members of royal and aristocratic families.
  • B. Tahsin
    Tahsin is a masculine given name of Turkish and Arabic origin, commonly used in Turkey and other Muslim-majority countries.
  • C. Fazl
    Fazl is the given name of Fazl-e-Haq Khairabadi, a 19th-century Indian Islamic scholar, philosopher, and prominent figure in the Indian Rebellion of 1857.
  • D. Alaeddin
    Alaeddin was an early Ottoman statesman and son of Osman I, often regarded as the first Ottoman grand vizier.
  • E. Mustafa
    Mustafa is a minor character in Pixar's animated film "Ratatouille," serving as the head waiter at Gusteau’s famed Parisian restaurant.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15638f5bc81908de13f4b6a52b60c completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb04b55ec8190a5b3513b2afa4f83 completed May 9, 2026, 10:08 p.m.
NEDg Description generation batch_69ffb13fdb6c819091c3ee5c1f199031 completed May 9, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69ffb208aef881909b3a00e0015c27df completed May 9, 2026, 10:15 p.m.
Created at: April 10, 2026, 4:51 a.m.