Triple

T17595255
Position Surface form Disambiguated ID Type / Status
Subject Miracle at St. Anna E428552 entity
Predicate stars P1956 FINISHED
Object Laz Alonso 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: Laz Alonso | Statement: [Miracle at St. Anna, stars, Laz Alonso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laz Alonso
Context triple: [Miracle at St. Anna, stars, Laz Alonso]
  • A. Laz Alonso chosen
    Laz Alonso is an American actor known for his roles in films like "Avatar" and the TV series "The Boys."
  • B. Kristian Alfonso
    Kristian Alfonso is an American actress and former figure skater best known for her long-running role as Hope Williams Brady on the soap opera "Days of Our Lives."
  • C. Luke Alvez
    Luke Alvez is a former Army Ranger and FBI agent who joins the Behavioral Analysis Unit as a main profiler in the television series "Criminal Minds."
  • D. Lohan Anderson
    Lohan Anderson is an architecture firm associated with architect Dirk Lohan, known for its contemporary design work.
  • E. Alex Fernandez
    Alex Fernandez is an American actor known for his numerous television roles, including a supporting part in the crime drama series "Killer Women."
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469ead59c8190a06519311891af3c completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 5:51 a.m.