Triple

T11181901
Position Surface form Disambiguated ID Type / Status
Subject Haluk Bilginer E264561 entity
Predicate familyName P18 FINISHED
Object Bilginer
Bilginer is a Turkish surname most notably associated with acclaimed actor Haluk Bilginer.
 E910094 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: Bilginer | Statement: [Haluk Bilginer, familyName, Bilginer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bilginer
Context triple: [Haluk Bilginer, familyName, Bilginer]
  • A. Syntu Ksiar
    Syntu Ksiar is a scenic riverside spot in Meghalaya’s Jaintia Hills, known for its natural beauty and historical significance as a center of the region’s freedom struggle.
  • B. Ngizmawa
    Ngizmawa is an alternative name for the Ngizim people, an ethnic group primarily found in northeastern Nigeria.
  • C. Gigen
    Gigen is a village in northern Bulgaria known for its proximity to the archaeological remains of the ancient Roman town of Oescus on the Danube River.
  • D. Byblus
    Byblus is the ancient Greek and Latin name for the Phoenician city of Gebal, one of the oldest continuously inhabited cities in the world, located in present-day Lebanon.
  • E. Loggos
    Loggos is a small, picturesque coastal village on the Greek island of Paxos, known for its harbor, traditional tavernas, and relaxed atmosphere.
  • 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: Bilginer
Triple: [Haluk Bilginer, familyName, Bilginer]
Generated description
Bilginer is a Turkish surname most notably associated with acclaimed actor Haluk Bilginer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bilginer
Target entity description: Bilginer is a Turkish surname most notably associated with acclaimed actor Haluk Bilginer.
  • A. Syntu Ksiar
    Syntu Ksiar is a scenic riverside spot in Meghalaya’s Jaintia Hills, known for its natural beauty and historical significance as a center of the region’s freedom struggle.
  • B. Ngizmawa
    Ngizmawa is an alternative name for the Ngizim people, an ethnic group primarily found in northeastern Nigeria.
  • C. Gigen
    Gigen is a village in northern Bulgaria known for its proximity to the archaeological remains of the ancient Roman town of Oescus on the Danube River.
  • D. Byblus
    Byblus is the ancient Greek and Latin name for the Phoenician city of Gebal, one of the oldest continuously inhabited cities in the world, located in present-day Lebanon.
  • E. Loggos
    Loggos is a small, picturesque coastal village on the Greek island of Paxos, known for its harbor, traditional tavernas, and relaxed atmosphere.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8a7f35481909f35feb94ef10e80 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e483affa988190bb7dc4f74d8e878c completed April 19, 2026, 7:26 a.m.
NEDg Description generation batch_69e48717c35481908fb05597084167e7 completed April 19, 2026, 7:41 a.m.
NED2 Entity disambiguation (via description) batch_69e48875faa88190af33654e6d9a708b completed April 19, 2026, 7:47 a.m.
Created at: April 8, 2026, 9:29 p.m.