Triple

T15547959
Position Surface form Disambiguated ID Type / Status
Subject İsmet Pasha E370661 entity
Predicate spouse P13 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: [İsmet Pasha, spouse, Mevhibe İnönü]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mevhibe İnönü
Context triple: [İsmet Pasha, spouse, 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a9073948190b6e9cf504aacc7cf completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff455c172c8190833274cb98667e84 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 4:08 a.m.