Triple

T8197066
Position Surface form Disambiguated ID Type / Status
Subject Bülent Korkmaz E191459 entity
Predicate givenName P17 FINISHED
Object Bülent E649261 NE FINISHED

How this triple was built (2 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: Bülent | Statement: [Bülent Korkmaz, givenName, Bülent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bülent
Context triple: [Bülent Korkmaz, givenName, Bülent]
  • A. Bülent chosen
    Bülent is a Turkish given name most famously associated with Bülent Ecevit, a former Prime Minister of Turkey.
  • B. Bülent Korkmaz
    Bülent Korkmaz is a former Turkish central defender best known as a one-club legend and long-time captain of Galatasaray, with whom he won numerous domestic titles and the 2000 UEFA Cup.
  • C. Bekir Bozdağ
    Bekir Bozdağ is a Turkish politician and long-serving member of parliament who has held key ministerial roles, including Minister of Justice, in governments led by the Justice and Development Party (AKP).
  • D. Necmettin Bilal
    Necmettin Bilal is a Turkish businessman best known as the son of Turkey’s long-serving president, Recep Tayyip Erdoğan.
  • E. Necdet Budak
    Necdet Budak is a Turkish academic and agricultural engineer who serves as the rector of Ege University.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82c6e9548190a4c5ca14516e4417 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb5c222e7081908aebce9253cfe515 completed March 31, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd94c7db688190a755d0143c71c2b2 completed April 1, 2026, 9:57 p.m.
Created at: March 30, 2026, 5:42 p.m.