Triple

T1951748
Position Surface form Disambiguated ID Type / Status
Subject Black Panther E42173 entity
Predicate castMember P1668 FINISHED
Object Danai Gurira E161246 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: Danai Gurira | Statement: [Black Panther, castMember, Danai Gurira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danai Gurira
Context triple: [Black Panther, castMember, Danai Gurira]
  • A. Danai Gurira chosen
    Danai Gurira is a Zimbabwean-American actress and playwright best known for her role as Michonne on the television series "The Walking Dead" and as Okoye in Marvel's "Black Panther" films.
  • B. Zazie Beetz
    Zazie Beetz is a German-American actress known for her roles in the TV series "Atlanta" and films such as "Deadpool 2" and "Joker."
  • C. Uzo Aduba
    Uzo Aduba is an Emmy Award–winning American actress best known for her acclaimed portrayal of Suzanne "Crazy Eyes" Warren on the Netflix series "Orange Is the New Black."
  • D. Lupita Nyong'o
    Lupita Nyong'o is a Kenyan-Mexican actress acclaimed for her powerful film performances, stage work, and advocacy for diversity and representation in Hollywood.
  • E. Úrsula Corberó
    Úrsula Corberó is a Spanish actress best known internationally for her role as Tokyo in the hit television series "Money Heist."
  • 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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb34eb5748190a3ac395252951eba completed March 7, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbc3cf6881909d42a04be18c3c73 completed March 8, 2026, 10:44 p.m.
Created at: March 4, 2026, 7:36 p.m.