Triple

T14173462
Position Surface form Disambiguated ID Type / Status
Subject Torin Kamran Cox E351270 entity
Predicate middleName P143 FINISHED
Object Kamran E1039835 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: Kamran | Statement: [Torin Kamran Cox, middleName, Kamran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamran
Context triple: [Torin Kamran Cox, middleName, Kamran]
  • A. Kamran chosen
    Kamran is a central romantic lead in the classic Turkish novel and TV adaptations of "Çalıkuşu," known for his complex, often tumultuous relationship with the heroine Feride.
  • B. Zafar
    Zafar was the pen name of Bahadur Shah II, the last Mughal emperor of India and a noted Urdu poet.
  • C. Zafar
    Zafar was an important ancient South Arabian city that served as the political and cultural center of the Himyarite Kingdom in what is now Yemen.
  • D. Kamran Mirza
    Kamran Mirza was a Mughal prince, the second son of Emperor Babur and a prominent political figure in the early Mughal Empire known for his repeated rebellions against his brother Humayun.
  • E. Asif
    Asif is a common male given name used in South Asian and Middle Eastern cultures, notably borne by Pakistani politician Asif Ali Zardari.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b7cc3081909f4fa371e1eae130 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd193f85e88190b37a37747ec9d019 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:01 a.m.