Triple

T19935526
Position Surface form Disambiguated ID Type / Status
Subject Eclipsed E479164 entity
Predicate notableCastMember P7010 FINISHED
Object Lupita Nyong'o NE NERFINISHED

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: Lupita Nyong'o | Statement: [Eclipsed, notableCastMember, Lupita Nyong'o]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lupita Nyong'o
Context triple: [Eclipsed, notableCastMember, Lupita Nyong'o]
  • A. Lupita Nyong'o chosen
    Lupita Nyong'o is a Kenyan-Mexican actress acclaimed for her powerful film performances, stage work, and advocacy for diversity and representation in Hollywood.
  • B. Leleti Khumalo
    Leleti Khumalo is a South African actress best known for her powerful role in the anti-apartheid film and stage musical "Sarafina!" and for her work in television dramas.
  • C. Susan Kelechi Watson
    Susan Kelechi Watson is an American actress best known for her role as Beth Pearson on the television series "This Is Us."
  • D. Angela Bassett
    Angela Bassett is an acclaimed American actress known for her powerful performances in film and television, particularly in biographical and dramatic roles.
  • E. Gabourey Sidibe
    Gabourey Sidibe is an American actress best known for her acclaimed, Oscar-nominated breakout performance in the film "Precious."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a173a448190a25cb859803e3afc completed April 20, 2026, 4:53 p.m.
Created at: April 10, 2026, 1:53 p.m.