Triple

T5156956
Position Surface form Disambiguated ID Type / Status
Subject Hüma Hatun E116333 entity
Predicate alsoKnownAs P39 FINISHED
Object Huma Hatun E116333 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: Huma Hatun | Statement: [Hüma Hatun, alsoKnownAs, Huma Hatun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huma Hatun
Context triple: [Hüma Hatun, alsoKnownAs, Huma Hatun]
  • A. Hüma Hatun chosen
    Hüma Hatun was a consort of Ottoman Sultan Murad II and the mother of Mehmed II, the conqueror of Constantinople.
  • B. Nermin Erbakan
    Nermin Erbakan was the wife of Turkish politician and former Prime Minister Necmettin Erbakan and a member of a prominent conservative political family in Turkey.
  • C. Gülcemal Kadın
    Gülcemal Kadın was a consort of Ottoman Sultan Abdulmejid I and the mother of Sultan Mehmed V.
  • D. Gülse Birsel
    Gülse Birsel is a prominent Turkish screenwriter, actress, columnist, and television host known for creating and starring in popular comedy series.
  • E. Oya Baydar
    Oya Baydar is a prominent Turkish novelist, sociologist, and political activist known for her socially engaged fiction and critical commentary on Turkey’s political landscape.
  • 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_69bd445d94788190b72e2cc563120995 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7902fbe48190abb58cb0b2b2b62d completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed0168a648190a470507802aa8934 completed March 21, 2026, 5:06 p.m.
Created at: March 20, 2026, 1:44 p.m.