Triple

T22657516
Position Surface form Disambiguated ID Type / Status
Subject Şenol Güneş E559267 entity
Predicate familyName P18 FINISHED
Object Güneş
Güneş is a Turkish surname most prominently associated with Şenol Güneş, a renowned Turkish football coach and former goalkeeper.
 E1549284 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: Güneş | Statement: [Şenol Güneş, familyName, Güneş]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Güneş
Context triple: [Şenol Güneş, familyName, Güneş]
  • A. The Sun
    The Sun is a British tabloid newspaper known for its sensationalist journalism, celebrity gossip, and large circulation.
  • B. The Sun
    The Sun is a vibrant, monumental painting by Norwegian artist Edvard Munch that depicts a radiant, dominating sun over a coastal landscape, symbolizing life, energy, and renewal.
  • C. The Sun
    The Sun is a 2005 historical drama film by Russian director Alexander Sokurov that portrays Emperor Hirohito in the final days of World War II.
  • D. The Sun
    The Sun is the star at the center of our solar system, providing the light and heat that sustain life on Earth.
  • E. The Sun
    The Sun is a fictional newspaper featured in the soap opera "One Life to Live," serving as a prominent tabloid in the town of Llanview, Pennsylvania.
  • 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: Güneş
Triple: [Şenol Güneş, familyName, Güneş]
Generated description
Güneş is a Turkish surname most prominently associated with Şenol Güneş, a renowned Turkish football coach and former goalkeeper.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Güneş
Target entity description: Güneş is a Turkish surname most prominently associated with Şenol Güneş, a renowned Turkish football coach and former goalkeeper.
  • A. The Sun
    The Sun is a fictional newspaper featured in the soap opera "One Life to Live," serving as a prominent tabloid in the town of Llanview, Pennsylvania.
  • B. The Sun
    The Sun is a British tabloid newspaper known for its sensationalist journalism, celebrity gossip, and large circulation.
  • C. The Sun
    The Sun is a vibrant, monumental painting by Norwegian artist Edvard Munch that depicts a radiant, dominating sun over a coastal landscape, symbolizing life, energy, and renewal.
  • D. The Sun
    The Sun is a 2005 historical drama film by Russian director Alexander Sokurov that portrays Emperor Hirohito in the final days of World War II.
  • E. The Sun
    The Sun is the star at the center of our solar system, providing the light and heat that sustain life on Earth.
  • 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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1765c62bc8190b3fcde76d6b6dfb6 completed April 29, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b73e246408190b4cab82e6799f162 completed May 18, 2026, 8:17 p.m.
NEDg Description generation batch_6a0b77402cf48190999a8e99f69bd480 completed May 18, 2026, 8:32 p.m.
NED2 Entity disambiguation (via description) batch_6a0b77c92d6081909abd6f1280dc22f7 completed May 18, 2026, 8:34 p.m.
Created at: April 17, 2026, 3:06 p.m.