Triple

T7087290
Position Surface form Disambiguated ID Type / Status
Subject Şerif Mardin E165107 entity
Predicate name P16 FINISHED
Object Şerif Mardin E165107 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: Şerif Mardin | Statement: [Şerif Mardin, name, Şerif Mardin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Şerif Mardin
Context triple: [Şerif Mardin, name, Şerif Mardin]
  • A. Şerif Mardin chosen
    Şerif Mardin was a prominent Turkish sociologist and political scientist known for his influential analyses of Ottoman-Turkish modernization, religion, and center–periphery relations in Turkish society.
  • B. Muhtar Kent
    Muhtar Kent is a Turkish-American business executive best known for serving as chairman and CEO of The Coca-Cola Company.
  • C. 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."
  • D. Ismail Ankaravi
    Ismail Ankaravi was an Ottoman-era Mevlevi scholar and Sufi commentator best known for his influential exegesis on Rumi’s Mathnawi.
  • E. Rauf Ilwan
    Rauf Ilwan is a character in Naguib Mahfouz’s novel "The Thief and the Dogs," known as a former mentor who betrays the protagonist, Said Mahran.
  • 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_69c6887d98408190912b9580666b0c1d completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e513d9b08190a8a8d213c2264ce4 completed March 27, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c794888abc8190ada2ae826449745a completed March 28, 2026, 8:42 a.m.
Created at: March 27, 2026, 2:41 p.m.