Triple

T3239549
Position Surface form Disambiguated ID Type / Status
Subject Trading Places E67934 entity
Predicate producer P490 FINISHED
Object Aaron Russo
Aaron Russo was an American film producer and political activist best known for producing hit comedies in the 1980s and later directing libertarian-leaning documentaries.
 E341027 NE FINISHED

How this triple was built (4 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: Aaron Russo | Statement: [Trading Places, producer, Aaron Russo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aaron Russo
Context triple: [Trading Places, producer, Aaron Russo]
  • A. Cody Hanson
    Cody Hanson is an American drummer best known as a founding member of the rock band Hinder.
  • B. Evan Ross
    Evan Ross is an American actor and musician, known for his film and television roles and as the son of legendary singer Diana Ross.
  • C. Aaron Ryder
    Aaron Ryder is a film producer best known for his work on acclaimed movies such as "The Prestige," "Memento," and "Arrival."
  • D. Dylan Tichenor
    Dylan Tichenor is an American film editor known for his work on acclaimed films such as "There Will Be Blood," "Boogie Nights," and "The Royal Tenenbaums."
  • E. Jesse Michaels
    Jesse Michaels is an American musician and artist best known as the lead vocalist and lyricist of the influential ska punk band Operation Ivy.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Aaron Russo
Triple: [Trading Places, producer, Aaron Russo]
Generated description
Aaron Russo was an American film producer and political activist best known for producing hit comedies in the 1980s and later directing libertarian-leaning documentaries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aaron Russo
Target entity description: Aaron Russo was an American film producer and political activist best known for producing hit comedies in the 1980s and later directing libertarian-leaning documentaries.
  • A. Cody Hanson
    Cody Hanson is an American drummer best known as a founding member of the rock band Hinder.
  • B. Evan Ross
    Evan Ross is an American actor and musician, known for his film and television roles and as the son of legendary singer Diana Ross.
  • C. Aaron Ryder
    Aaron Ryder is a film producer best known for his work on acclaimed movies such as "The Prestige," "Memento," and "Arrival."
  • D. Dylan Tichenor
    Dylan Tichenor is an American film editor known for his work on acclaimed films such as "There Will Be Blood," "Boogie Nights," and "The Royal Tenenbaums."
  • E. Jesse Michaels
    Jesse Michaels is an American musician and artist best known as the lead vocalist and lyricist of the influential ska punk band Operation Ivy.
  • F. None of above. chosen

Provenance (5 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaef4c0bc819095e4f84296fe7cb6 completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2774f93448190b8493b457636ae48 completed March 12, 2026, 8:20 a.m.
NEDg Description generation batch_69b2786b7d388190ad0d97bd41a60543 completed March 12, 2026, 8:25 a.m.
NED2 Entity disambiguation (via description) batch_69b27c45f6b08190966fbc3fd28664ec completed March 12, 2026, 8:41 a.m.
Created at: March 8, 2026, 3:08 p.m.