Triple

T4150213
Position Surface form Disambiguated ID Type / Status
Subject İsmet İnönü E89884 entity
Predicate givenName P17 FINISHED
Object İsmet
İsmet is a Turkish given name most famously borne by İsmet İnönü, a prominent statesman and the second President of Turkey.
 E424249 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: İsmet | Statement: [İsmet İnönü, givenName, İsmet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: İsmet
Context triple: [İsmet İnönü, givenName, İsmet]
  • A. 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.
  • B. Mehmet
    Mehmet is a common Turkish male given name of Arabic origin, widely used across Turkey and among Turkish communities.
  • C. Selim Işık
    Selim Işık is a central, tragicomic character in Oğuz Atay’s novel "Tutunamayanlar," symbolizing the alienated intellectual who cannot adapt to modern Turkish society.
  • D. 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."
  • E. Mehmet Ragif
    Mehmet Ragif is the birth name of Mehmet Akif Ersoy, the renowned Turkish poet, writer, and author of the Turkish National Anthem.
  • 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: İsmet
Triple: [İsmet İnönü, givenName, İsmet]
Generated description
İsmet is a Turkish given name most famously borne by İsmet İnönü, a prominent statesman and the second President of Turkey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: İsmet
Target entity description: İsmet is a Turkish given name most famously borne by İsmet İnönü, a prominent statesman and the second President of Turkey.
  • A. 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.
  • B. Mehmet
    Mehmet is a common Turkish male given name of Arabic origin, widely used across Turkey and among Turkish communities.
  • C. Selim Işık
    Selim Işık is a central, tragicomic character in Oğuz Atay’s novel "Tutunamayanlar," symbolizing the alienated intellectual who cannot adapt to modern Turkish society.
  • D. 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."
  • E. Mehmet Ragif
    Mehmet Ragif is the birth name of Mehmet Akif Ersoy, the renowned Turkish poet, writer, and author of the Turkish National Anthem.
  • 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_69aed95a59a881909b26e70b42c6811a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0273a038819087db092da234e767 completed March 9, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a843dbb48190917db61981942bd5 completed March 14, 2026, 6:26 p.m.
NEDg Description generation batch_69b5ac599fc48190b9f83ba48e4ba42b completed March 14, 2026, 6:43 p.m.
NED2 Entity disambiguation (via description) batch_69b5acc576308190a5e34b580db46944 completed March 14, 2026, 6:45 p.m.
Created at: March 9, 2026, 3:43 p.m.