Triple

T9244905
Position Surface form Disambiguated ID Type / Status
Subject Tahsin Özgüç E222165 entity
Predicate givenName P17 FINISHED
Object Tahsin
Tahsin is a masculine given name of Turkish and Arabic origin, commonly used in Turkey and other Muslim-majority countries.
 E786371 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: Tahsin | Statement: [Tahsin Özgüç, givenName, Tahsin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tahsin
Context triple: [Tahsin Özgüç, givenName, Tahsin]
  • A. Tahir
    Tahir is a common Arabic-origin surname used by various notable individuals across the Muslim world and diaspora.
  • B. Yasin
    Yasin is a central character in Naguib Mahfouz's novel "Palace of Desire," known as the pleasure-seeking, impulsive son of the patriarch al-Sayyid Ahmad Abd al-Jawad.
  • C. Yasin
    Yasin is a remote mountainous valley and settlement in northern Pakistan, known for its scenic landscapes, traditional villages, and strategic location within the broader Ghizer region of Gilgit-Baltistan.
  • D. Kamarudeen
    Kamarudeen is the given first name of Kamaru Usman, a Nigerian-American mixed martial artist and former UFC welterweight champion.
  • E. Yusuf
    Yusuf is a skilled chemist and dream architect in the film "Inception," responsible for creating the powerful sedatives used in shared dreaming heists.
  • 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: Tahsin
Triple: [Tahsin Özgüç, givenName, Tahsin]
Generated description
Tahsin is a masculine given name of Turkish and Arabic origin, commonly used in Turkey and other Muslim-majority countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tahsin
Target entity description: Tahsin is a masculine given name of Turkish and Arabic origin, commonly used in Turkey and other Muslim-majority countries.
  • A. Tahir
    Tahir is a common Arabic-origin surname used by various notable individuals across the Muslim world and diaspora.
  • B. Yasin
    Yasin is a central character in Naguib Mahfouz's novel "Palace of Desire," known as the pleasure-seeking, impulsive son of the patriarch al-Sayyid Ahmad Abd al-Jawad.
  • C. Yasin
    Yasin is a remote mountainous valley and settlement in northern Pakistan, known for its scenic landscapes, traditional villages, and strategic location within the broader Ghizer region of Gilgit-Baltistan.
  • D. Kamarudeen
    Kamarudeen is the given first name of Kamaru Usman, a Nigerian-American mixed martial artist and former UFC welterweight champion.
  • E. Yusuf
    Yusuf is a skilled chemist and dream architect in the film "Inception," responsible for creating the powerful sedatives used in shared dreaming heists.
  • 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_69ca83ee26cc81909ac624e190597d6d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cd03efaa748190973916bd790f6e3a completed April 1, 2026, 11:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077f14804819098f443a2517ad461 completed April 4, 2026, 2:31 a.m.
NEDg Description generation batch_69d07933d26c81909257a4e6a5fe1c6e completed April 4, 2026, 2:36 a.m.
NED2 Entity disambiguation (via description) batch_69d079ed3eb48190b410934b809ebc3d completed April 4, 2026, 2:39 a.m.
Created at: March 30, 2026, 7:30 p.m.