Triple

T7288169
Position Surface form Disambiguated ID Type / Status
Subject Patriot Games E163926 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: [Patriot Games, producer, Robert Rehme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Rehme
Context triple: [Patriot Games, 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_69c6886093b88190a254b1ce6db8bae7 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb6a73fc8190ae5ce81fd3e46d87 completed March 27, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c93a3a7cbc8190a7f183d8a5bb4b06 completed March 29, 2026, 2:42 p.m.
Created at: March 27, 2026, 2:59 p.m.