Triple

T8433439
Position Surface form Disambiguated ID Type / Status
Subject Okoye E199169 entity
Predicate fullName P16 FINISHED
Object Okoye E199169 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: Okoye | Statement: [Okoye, fullName, Okoye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Okoye
Context triple: [Okoye, fullName, Okoye]
  • A. Okoye chosen
    Okoye is the fiercely loyal and highly skilled Wakandan warrior who leads the Dora Milaje and serves as one of Black Panther’s closest allies in the Marvel Cinematic Universe.
  • B. Mandozai
    Mandozai is a Pashtun tribe associated with the Karlani tribal confederation in Afghanistan and surrounding regions.
  • C. Shuri
    Shuri is a historic town on Okinawa Island best known as the former royal capital of the Ryukyu Kingdom and the site of Shuri Castle.
  • D. Shuri
    Shuri is a brilliant Wakandan princess and tech genius in the Marvel Cinematic Universe, known especially for her cutting-edge inventions and support of Black Panther.
  • E. Quorra
    Quorra is a skilled, curious, and rebellious program from the digital world of Tron who serves as Kevin Flynn’s protege and key ally to Sam Flynn in the film "Tron: Legacy."
  • 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_69ca8313c99081909a5c6d83b91de5b3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbd1a74d948190abd76e7a6efb42ec completed March 31, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d673ed48190abf765c203ed2a0f completed April 2, 2026, 7:40 a.m.
Created at: March 30, 2026, 6:07 p.m.