Triple

T17044251
Position Surface form Disambiguated ID Type / Status
Subject Leon Osman E413523 entity
Predicate familyName P18 FINISHED
Object Osman E1105533 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: Osman | Statement: [Leon Osman, familyName, Osman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Osman
Context triple: [Leon Osman, familyName, Osman]
  • A. Osman chosen
    Osman is a common Somali surname shared by many individuals, including prominent political and public figures.
  • B. Osmanoğlu
    Osmanoğlu is the surname borne by descendants of the Ottoman imperial dynasty, historically associated with the ruling house of the Ottoman Empire.
  • C. 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.
  • D. Osman I
    Osman I was the founder and first ruler of the Ottoman dynasty, which grew into one of history’s most powerful empires.
  • E. Mehmed
    Mehmed was the given name of Mehmed V, the Ottoman sultan who ruled during the early 20th century and World War I.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3da9c112c81908232dc6908d831cf completed April 18, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01233cd3d48190b002951881ef670b completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:33 a.m.