Triple

T11236745
Position Surface form Disambiguated ID Type / Status
Subject Warrior (2011 film) E265958 entity
Predicate stars P1956 FINISHED
Object Frank Grillo E234639 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: Frank Grillo | Statement: [Warrior (2011 film), stars, Frank Grillo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Grillo
Context triple: [Warrior (2011 film), stars, Frank Grillo]
  • A. Frank Grillo chosen
    Frank Grillo is an American actor best known for his tough, action-oriented roles in films such as the Purge series and the Marvel Cinematic Universe.
  • B. Wesley Pentz
    Wesley Pentz, better known as Diplo, is an American DJ, record producer, and songwriter recognized for his influential work in electronic and pop music.
  • C. Chris Swanson
    Chris Swanson is a music industry executive and co-founder of the independent record label Dead Oceans, known for its roster of acclaimed indie and alternative artists.
  • D. Tobin Bell
    Tobin Bell is an American actor best known for portraying the serial killer John Kramer, also known as Jigsaw, in the "Saw" horror film franchise.
  • E. William Fichtner
    William Fichtner is an American character actor known for his intense, often villainous or morally complex roles in films such as "Heat," "Armageddon," and "Black Hawk Down," as well as the TV series "Prison Break."
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e904cf888190826fc964f76b5cb2 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad6308f8819085652d6c529ac821 completed April 19, 2026, 10:24 a.m.
Created at: April 8, 2026, 9:30 p.m.