Triple

T14788599
Position Surface form Disambiguated ID Type / Status
Subject Osei Tutu I E347593 entity
Predicate title P38 FINISHED
Object Asantehene E347592 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: Asantehene | Statement: [Osei Tutu I, title, Asantehene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asantehene
Context triple: [Osei Tutu I, title, Asantehene]
  • A. Asantehene chosen
    The Asantehene is the king of the Ashanti people of Ghana, serving as their paramount traditional ruler and cultural leader.
  • B. Nana Yaa Asantewaa
    Nana Yaa Asantewaa was a legendary Ashanti queen mother and military leader who led the 1900 War of the Golden Stool against British colonial forces in present-day Ghana.
  • C. Kpɛlɛ
    Kpɛlɛ is the endonym for the Kpelle language spoken by the Kpelle people of Liberia and Guinea.
  • D. Ga Mantse (Ga king)
    Ga Mantse (Ga king) is the paramount traditional ruler and cultural leader of the Ga people of the Greater Accra Region in Ghana.
  • E. Kola Kwariani
    Kola Kwariani was a Georgian-born professional wrestler and occasional actor best known for his memorable role as a chess-playing strongman in Stanley Kubrick’s film "The Killing."
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decaa1e9ec81908d7c26c1c4e43014 completed April 14, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe388fc0e08190a758a1e0a4140909 completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:31 a.m.