Triple

T16894025
Position Surface form Disambiguated ID Type / Status
Subject Ömer İnönü E424250 entity
Predicate givenName P17 FINISHED
Object Ömer
Ömer is a masculine given name of Turkish origin commonly used in Turkey and among Turkish-speaking communities.
 E1239958 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: Ömer | Statement: [Ömer İnönü, givenName, Ömer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ömer
Context triple: [Ömer İnönü, givenName, Ömer]
  • A. Mustafa
    Mustafa is the given birth name of Mustafa Kemal Atatürk, the founder and first president of the Republic of Turkey.
  • B. Mustafa
    Mustafa is a minor character in Pixar's animated film "Ratatouille," serving as the head waiter at Gusteau’s famed Parisian restaurant.
  • C. Mustafa
    Mustafa is a common male given name of Arabic origin, widely used across the Muslim world and often associated with the Prophet Muhammad as an honorific meaning "the chosen one."
  • D. Mahmut
    Mahmut is a masculine given name commonly used in Turkish and related cultures, derived from the Arabic name Mahmoud.
  • E. Ahmet
    Ahmet is a common male given name of Arabic origin, widely used in Turkey and other Muslim-majority countries as a variant of Ahmed.
  • 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: Ömer
Triple: [Ömer İnönü, givenName, Ömer]
Generated description
Ömer is a masculine given name of Turkish origin commonly used in Turkey and among Turkish-speaking communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ömer
Target entity description: Ömer is a masculine given name of Turkish origin commonly used in Turkey and among Turkish-speaking communities.
  • A. Mustafa
    Mustafa is the given birth name of Mustafa Kemal Atatürk, the founder and first president of the Republic of Turkey.
  • B. Mustafa
    Mustafa is a minor character in Pixar's animated film "Ratatouille," serving as the head waiter at Gusteau’s famed Parisian restaurant.
  • C. Mustafa
    Mustafa is a common male given name of Arabic origin, widely used across the Muslim world and often associated with the Prophet Muhammad as an honorific meaning "the chosen one."
  • D. Mahmut
    Mahmut is a masculine given name commonly used in Turkish and related cultures, derived from the Arabic name Mahmoud.
  • E. Ahmet
    Ahmet is a common male given name of Arabic origin, widely used in Turkey and other Muslim-majority countries as a variant of Ahmed.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8d6bfc88190b6b47b89c1135871 completed April 18, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7aa83bc8190832d2f3903ce0081 completed May 10, 2026, 6 p.m.
NEDg Description generation batch_6a00c8b9e4888190b25dd3256fc13dd1 completed May 10, 2026, 6:04 p.m.
NED2 Entity disambiguation (via description) batch_6a00c9672ab881909770b4fe551ec622 completed May 10, 2026, 6:07 p.m.
Created at: April 10, 2026, 5:29 a.m.