Triple

T13343335
Position Surface form Disambiguated ID Type / Status
Subject Kazım Karabekir E317881 entity
Predicate givenName P17 FINISHED
Object Kazım
Kazım is a Turkish given name most notably borne by Kazım Karabekir, a prominent Ottoman and early Republican-era military commander and statesman.
 E1046884 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: Kazım | Statement: [Kazım Karabekir, givenName, Kazım]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kazım
Context triple: [Kazım Karabekir, givenName, Kazım]
  • A. Bekir
    Bekir is a common Turkish male given name of Arabic origin, often associated with early Islamic history and frequently borne by notable figures in Turkey.
  • B. Celal
    Celal is a central character in Orhan Pamuk’s novel "The Black Book," around whom much of the story’s mystery and identity exploration revolves.
  • C. Kerim Bey
    Kerim Bey is a charismatic and resourceful MI6 ally in the James Bond series, best known for assisting Bond in Istanbul in the film and novel "From Russia, with Love."
  • D. Abdüllatif
    Abdüllatif is a Turkish male given name of Arabic origin, commonly used in Turkey and among Turkish-speaking communities.
  • E. Mustafa Râkim
    Mustafa Râkim was a preeminent Ottoman calligrapher renowned for refining and perfecting the sülüs and celî scripts, profoundly influencing the classical tradition of Islamic calligraphy.
  • 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: Kazım
Triple: [Kazım Karabekir, givenName, Kazım]
Generated description
Kazım is a Turkish given name most notably borne by Kazım Karabekir, a prominent Ottoman and early Republican-era military commander and statesman.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kazım
Target entity description: Kazım is a Turkish given name most notably borne by Kazım Karabekir, a prominent Ottoman and early Republican-era military commander and statesman.
  • A. Bekir
    Bekir is a common Turkish male given name of Arabic origin, often associated with early Islamic history and frequently borne by notable figures in Turkey.
  • B. Celal
    Celal is a central character in Orhan Pamuk’s novel "The Black Book," around whom much of the story’s mystery and identity exploration revolves.
  • C. Kerim Bey
    Kerim Bey is a charismatic and resourceful MI6 ally in the James Bond series, best known for assisting Bond in Istanbul in the film and novel "From Russia, with Love."
  • D. Abdüllatif
    Abdüllatif is a Turkish male given name of Arabic origin, commonly used in Turkey and among Turkish-speaking communities.
  • E. Mustafa Râkim
    Mustafa Râkim was a preeminent Ottoman calligrapher renowned for refining and perfecting the sülüs and celî scripts, profoundly influencing the classical tradition of Islamic calligraphy.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8839b48190b164414b418e756c completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f75d8322ac8190a9830d9ca92f455f completed May 3, 2026, 2:36 p.m.
NEDg Description generation batch_69f75f4352d48190ab57ab8ee57dba13 completed May 3, 2026, 2:44 p.m.
NED2 Entity disambiguation (via description) batch_69f75f9fced081909962a881e469d3c4 completed May 3, 2026, 2:45 p.m.
Created at: April 9, 2026, 9:31 p.m.