Triple

T10722484
Position Surface form Disambiguated ID Type / Status
Subject The Magnificent Seven (2016 film) E252856 entity
Predicate producer P490 FINISHED
Object Roger Birnbaum E632592 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: Roger Birnbaum | Statement: [The Magnificent Seven (2016 film), producer, Roger Birnbaum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roger Birnbaum
Context triple: [The Magnificent Seven (2016 film), producer, Roger Birnbaum]
  • A. Roger Birnbaum chosen
    Roger Birnbaum is an American film producer and studio executive known for co-founding Spyglass Entertainment and producing numerous mainstream Hollywood films.
  • B. Jerry Bresler
    Jerry Bresler was an American film producer active in mid-20th-century Hollywood, known for working on large-scale studio productions.
  • C. William Rosenberg
    William Rosenberg was an American entrepreneur best known for creating the coffee and doughnut chain that became Dunkin' Donuts.
  • D. Michael Berman
    Michael Berman is a writer and contributor known for his work published in George magazine.
  • E. Steven Fierberg
    Steven Fierberg is an American cinematographer known for his work on feature films and television series, including the romantic drama "Love & Other Drugs."
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d70d44d0048190a78aae2357e864a5 completed April 9, 2026, 2:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6684574908190bd7e3d1a7dd6d876 completed May 2, 2026, 9:10 p.m.
Created at: April 8, 2026, 9:13 p.m.