Triple

T8661754
Position Surface form Disambiguated ID Type / Status
Subject The Purge: Election Year E205563 entity
Predicate editedBy P1954 FINISHED
Object Todd E. Miller E330755 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: Todd E. Miller | Statement: [The Purge: Election Year, editedBy, Todd E. Miller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Todd E. Miller
Context triple: [The Purge: Election Year, editedBy, Todd E. Miller]
  • A. Todd E. Miller chosen
    Todd E. Miller is a film editor known for his work on major action movies, including "Rambo: Last Blood."
  • B. Ron Miller
    Ron Miller was an American songwriter best known for penning classic Motown hits, including the standard "For Once in My Life."
  • C. Ron Miller
    Ron Miller is an American artist and illustrator renowned for his work in science fiction and astronomical art.
  • D. Ron Miller
    Ron Miller was an American film and television producer and former president and CEO of The Walt Disney Company, known for overseeing numerous Disney projects in the 1970s and 1980s.
  • E. Jeffrey L. Miller
    Jeffrey L. Miller is a linguist known for his descriptive work on the grammar of the West Coast Bajau language.
  • 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_69ca8350897c819086cde7596fbe5fe7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc487147248190b5f1bff836a11e68 completed March 31, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf426e7c54819086d35609f2edf287 completed April 3, 2026, 4:30 a.m.
Created at: March 30, 2026, 6:30 p.m.