Triple

T14500752
Position Surface form Disambiguated ID Type / Status
Subject Fahri Korutürk E359627 entity
Predicate headOfGovernment P307 FINISHED
Object Naim Talu
Naim Talu was a Turkish banker and technocrat who briefly served as prime minister of Turkey in the early 1970s.
E1102558 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: Naim Talu | Statement: [Fahri Korutürk, headOfGovernment, Naim Talu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naim Talu
Context triple: [Fahri Korutürk, headOfGovernment, Naim Talu]
  • A. Bahauddin Toukan
    Bahauddin Toukan was a Jordanian diplomat and statesman known primarily as the father of Queen Alia al-Hussein of Jordan.
  • B. Ahmed Mazhar
    Ahmed Mazhar was a prominent Egyptian film actor, often celebrated for his leading roles in classic Arabic cinema from the 1950s through the 1970s.
  • C. Nâzim
    Nâzim is the given name of Nâzim Hikmet, a renowned Turkish poet, playwright, and novelist known for his revolutionary and modernist works.
  • D. Ashfaq Ulla Khan
    Ashfaq Ulla Khan was an Indian revolutionary and freedom fighter associated with the Hindustan Republican Association, known for his role in the Kakori train robbery against British colonial rule.
  • E. Zaki Azmi
    Zaki Azmi is a prominent Malaysian jurist and former Chief Justice of Malaysia who later served as Chief Justice of the DIFC Courts in Dubai.
  • 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: Naim Talu
Triple: [Fahri Korutürk, headOfGovernment, Naim Talu]
Generated description
Naim Talu was a Turkish banker and technocrat who briefly served as prime minister of Turkey in the early 1970s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Naim Talu
Target entity description: Naim Talu was a Turkish banker and technocrat who briefly served as prime minister of Turkey in the early 1970s.
  • A. Bahauddin Toukan
    Bahauddin Toukan was a Jordanian diplomat and statesman known primarily as the father of Queen Alia al-Hussein of Jordan.
  • B. Ahmed Mazhar
    Ahmed Mazhar was a prominent Egyptian film actor, often celebrated for his leading roles in classic Arabic cinema from the 1950s through the 1970s.
  • C. Nâzim
    Nâzim is the given name of Nâzim Hikmet, a renowned Turkish poet, playwright, and novelist known for his revolutionary and modernist works.
  • D. Ashfaq Ulla Khan
    Ashfaq Ulla Khan was an Indian revolutionary and freedom fighter associated with the Hindustan Republican Association, known for his role in the Kakori train robbery against British colonial rule.
  • E. Zaki Azmi
    Zaki Azmi is a prominent Malaysian jurist and former Chief Justice of Malaysia who later served as Chief Justice of the DIFC Courts in Dubai.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de94dfe484819086dd971606e6478e completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d9b6f7481908b7eb76226a93545 completed May 8, 2026, 4:59 a.m.
NEDg Description generation batch_69fd6efed3108190a524c64adf740303 completed May 8, 2026, 5:05 a.m.
NED2 Entity disambiguation (via description) batch_69fd6f8648408190aed910a7f269abee completed May 8, 2026, 5:07 a.m.
Created at: April 10, 2026, 1:21 a.m.