Triple

T10124537
Position Surface form Disambiguated ID Type / Status
Subject Clear and Present Danger E226177 entity
Predicate producer P490 FINISHED
Object Robert Rehme E417950 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: Robert Rehme | Statement: [Clear and Present Danger, producer, Robert Rehme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Rehme
Context triple: [Clear and Present Danger, producer, Robert Rehme]
  • A. Robert Rehme chosen
    Robert Rehme is an American film producer and former president of Paramount Pictures and the Academy of Motion Picture Arts and Sciences, known for overseeing numerous major Hollywood productions.
  • B. Charles Rettig
    Charles Rettig is an American tax attorney who served as the Commissioner of the Internal Revenue Service (IRS) from 2018 to 2022.
  • C. George Boemler
    George Boemler was a film editor known for his work on classic Hollywood productions, including the musical comedy "High Society."
  • D. Thomas J. Hennen
    Thomas J. Hennen is a former U.S. Army warrant officer and astronaut who flew as a payload specialist on the Space Shuttle, contributing military reconnaissance expertise to space-based observation missions.
  • E. Richard Riehle
    Richard Riehle is an American character actor known for his prolific work in film and television, including memorable roles in movies like "Office Space" and numerous guest appearances on popular TV series.
  • 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_69ca843057b48190a86730167f5d6b98 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd2ebe4548190a484c145639d92f0 completed April 2, 2026, 2:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbd93b506c8190bbff63903770355a completed April 12, 2026, 5:41 p.m.
Created at: March 30, 2026, 9:05 p.m.