Triple

T16788515
Position Surface form Disambiguated ID Type / Status
Subject Mustafa Pasha E408040 entity
Predicate title P38 FINISHED
Object Pasha E163294 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: Pasha | Statement: [Mustafa Pasha, title, Pasha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pasha
Context triple: [Mustafa Pasha, title, Pasha]
  • A. Pasha chosen
    Pasha is a high-ranking title of nobility and military or administrative authority historically used in the Ottoman Empire and some neighboring regions.
  • B. Peshewa
    Peshewa, also known as Jean Baptiste Richardville, was a prominent 19th-century Miami (Myaamia) chief influential in treaty negotiations with the United States in the Great Lakes region.
  • C. Pasha Qasim
    Pasha Qasim was an Ottoman military leader and provincial governor whose legacy is notably marked by the mosque bearing his name in Pécs, Hungary.
  • D. Tagau Pashayi
    Tagau Pashayi is a specific variety of the Pashayi languages spoken by Pashayi communities in eastern Afghanistan.
  • E. Farhat
    Farhat is a surname of Arabic origin borne by various individuals, including Tunisian figures such as Chadlia Saïda Farhat.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b21c49788190b9a2ca2101604f64 completed April 18, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab09932c8190ba16a349c4938c16 completed May 10, 2026, 3:58 p.m.
Created at: April 10, 2026, 5:22 a.m.