Triple

T22973865
Position Surface form Disambiguated ID Type / Status
Subject 12 Strong E571259 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: [12 Strong, starring, Michael Peña]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Peña
Context triple: [12 Strong, 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_69e245b2c6548190a0e4c7f2f7df2d48 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182350b448190a34e5fa0167fd964 completed April 29, 2026, 3:59 a.m.
Created at: April 17, 2026, 3:48 p.m.