Triple

T16894028
Position Surface form Disambiguated ID Type / Status
Subject Ömer İnönü E424250 entity
Predicate mother P120 FINISHED
Object Mevhibe İnönü E417680 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: Mevhibe İnönü | Statement: [Ömer İnönü, mother, Mevhibe İnönü]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mevhibe İnönü
Context triple: [Ömer İnönü, mother, Mevhibe İnönü]
  • A. Mevhibe İnönü chosen
    Mevhibe İnönü was the wife of Turkey’s second president İsmet İnönü and a prominent First Lady known for her role in the early Republican era’s social and cultural life.
  • B. Filiz Ali
    Filiz Ali is a Turkish musicologist and educator, known for her work in classical music and for being the daughter of renowned writer Sabahattin Ali.
  • C. Münevver Andaç
    Münevver Andaç was the wife of renowned Turkish poet Nâzım Hikmet and is remembered as one of his significant romantic partners and muses.
  • D. Süreyya İlmen
    Süreyya İlmen was a prominent Turkish politician and philanthropist known for his contributions to Istanbul’s cultural life, including the establishment of the Süreyya Opera House.
  • E. Hayrünnisa Gül
    Hayrünnisa Gül is a Turkish public figure who served as First Lady of Turkey during the presidency of her husband, Abdullah Gül.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8d6bfc88190b6b47b89c1135871 completed April 18, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7aa83bc8190832d2f3903ce0081 completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:29 a.m.