Triple

T9605924
Position Surface form Disambiguated ID Type / Status
Subject Jimmy Akena E231970 entity
Predicate name P16 FINISHED
Object Jimmy Akena E231970 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: Jimmy Akena | Statement: [Jimmy Akena, name, Jimmy Akena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jimmy Akena
Context triple: [Jimmy Akena, name, Jimmy Akena]
  • A. Jimmy Akena chosen
    Jimmy Akena is a Ugandan politician and son of former president Milton Obote, known for leading the Uganda People’s Congress party.
  • B. Kenyatta Matthews
    Kenyatta Matthews is the wife of American author and journalist Ta-Nehisi Coates, known for her private life outside of his public literary career.
  • C. Alex Lanipekun
    Alex Lanipekun is a British actor known for his work in television, film, and theatre, including roles in series such as "Spooks" (MI-5).
  • D. Jordan Johnson
    Jordan Johnson is a writer known for authoring the work titled "Daisies."
  • E. Atiba Hutchinson
    Atiba Hutchinson is a Canadian professional soccer midfielder renowned for his long international career with Canada’s national team and successful club stints in Europe, particularly with FC Copenhagen and Beşiktaş.
  • 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_69ca8484838c8190b2049199d22fef70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a6006d48190adc03306533b9be6 completed April 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d17939ed4c8190addfb052b762d454 completed April 4, 2026, 8:48 p.m.
Created at: March 30, 2026, 8:08 p.m.