Triple

T12450802
Position Surface form Disambiguated ID Type / Status
Subject Serasker E297525 entity
Predicate alsoKnownAs P39 FINISHED
Object Seraskier E297525 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: Seraskier | Statement: [Serasker, alsoKnownAs, Seraskier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seraskier
Context triple: [Serasker, alsoKnownAs, Seraskier]
  • A. Serasker chosen
    The Serasker was the Ottoman Empire’s highest-ranking military official, serving as commander-in-chief of the army and often holding significant administrative and political authority.
  • B. Kapudan Pasha
    Kapudan Pasha was the title given to the grand admiral who served as the supreme commander of the Ottoman Empire’s naval forces.
  • C. Turgut
    Turgut is a masculine Turkish given name most notably borne by the influential modernist poet Turgut Uyar.
  • D. Janissary Agha
    The Janissary Agha was the chief commander of the Ottoman Empire’s elite Janissary corps, holding one of the most powerful military and political posts in the empire.
  • E. Silahdar
    Silahdar is an Ottoman honorific title historically given to high-ranking officials who served as the sultan’s sword-bearer and close military aide.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d9fa5f0819080ca9f6efa212c59 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f16e87c8190b7e9f61561ae865a completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:56 p.m.