Triple

T5532931
Position Surface form Disambiguated ID Type / Status
Subject Overdrive E145091 entity
Predicate starring P1507 FINISHED
Object Ana de Armas E387478 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: Ana de Armas | Statement: [Overdrive, starring, Ana de Armas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ana de Armas
Context triple: [Overdrive, starring, Ana de Armas]
  • A. Ana de Armas chosen
    Ana de Armas is a Cuban-Spanish actress known for her breakout roles in films such as "Blade Runner 2049," "Knives Out," and "Blonde."
  • B. Elena Anaya
    Elena Anaya is a Spanish actress known for her roles in both European cinema and Hollywood productions, including prominent performances in films like "The Skin I Live In."
  • C. Úrsula Corberó
    Úrsula Corberó is a Spanish actress best known internationally for her role as Tokyo in the hit television series "Money Heist."
  • D. Morena Baccarin
    Morena Baccarin is a Brazilian-American actress known for her roles in television series such as "Homeland," "Firefly," and "Gotham," as well as the "Deadpool" film franchise.
  • E. Carmen Ejogo
    Carmen Ejogo is a British actress and singer known for her versatile film and television roles, including her acclaimed portrayal of Coretta Scott King in the historical drama "Selma."
  • 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_69c008f9955881909bfa8348b56b4739 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f9ea2c88190a68642f5799bd8ff completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0280cb42c8190bf5ba546aca5edce completed March 22, 2026, 5:34 p.m.
Created at: March 22, 2026, 3:34 p.m.