Triple

T21836050
Position Surface form Disambiguated ID Type / Status
Subject Lions for Lambs E539122 entity
Predicate starring P1507 FINISHED
Object Michael Peña 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: Michael Peña | Statement: [Lions for Lambs, starring, Michael Peña]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Peña
Context triple: [Lions for Lambs, starring, Michael Peña]
  • A. Michael Peña chosen
    Michael Peña is an American actor known for his versatile supporting roles in films such as "Crash," "Ant-Man," and "End of Watch."
  • B. Harvey Guillén
    Harvey Guillén is an American actor best known for his comedic role as Guillermo de la Cruz in the TV series "What We Do in the Shadows" and for his voice work in animated films.
  • C. Jonathan Salas
    Jonathan Salas is a musician best known for his brief tenure as a guitarist with the Christian rock band Skillet.
  • D. Raúl Esparza
    Raúl Esparza is an American actor and singer best known for his acclaimed work on Broadway and his role as ADA Rafael Barba on the television series "Law & Order: Special Victims Unit."
  • E. Robert Aramayo
    Robert Aramayo is a British actor known for his roles in film and television, including his breakout performance as young Ned Stark in "Game of Thrones" and prominent parts in series such as "Behind Her Eyes" and "The Lord of the Rings: The Rings of Power."
  • 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_69e0c475cda88190987d08f23caebdc1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0a7a7c368819094e0c4548be30798 completed April 28, 2026, 12:27 p.m.
Created at: April 16, 2026, 6:55 p.m.