Triple

T21248590
Position Surface form Disambiguated ID Type / Status
Subject Fatma Neslişah Sultan E523681 entity
Predicate familyName P18 FINISHED
Object Osmanoğlu NE NERFINISHED

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: Osmanoğlu | Statement: [Fatma Neslişah Sultan, familyName, Osmanoğlu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Osmanoğlu
Context triple: [Fatma Neslişah Sultan, familyName, Osmanoğlu]
  • A. Osmanoğlu chosen
    Osmanoğlu is the surname borne by descendants of the Ottoman imperial dynasty, historically associated with the ruling house of the Ottoman Empire.
  • B. Osman
    Osman is the principal male character in the traditional Croatian Moreška sword dance, typically portrayed as the leader of the invading "black" army.
  • C. Osman
    Osman is a common Somali surname shared by many individuals, including prominent political and public figures.
  • D. Osmaneli
    Osmaneli is a town and district in northwestern Turkey known for its historical architecture and location along the Sakarya River.
  • E. Murat
    Murat is a historic small town in south-central France, known for its volcanic landscape setting in the Cantal region and its traditional stone architecture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7359b756c819085480ca4174c53c2 completed April 21, 2026, 8:30 a.m.
Created at: April 16, 2026, 3:56 p.m.