Triple

T830308
Position Surface form Disambiguated ID Type / Status
Subject Andy Samberg E17948 entity
Predicate notableWork P4 FINISHED
Object Hot Rod
Hot Rod is a 2007 comedy film starring Andy Samberg as an inept stuntman attempting a massive jump to earn money for his stepfather’s surgery.
 E96554 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: Hot Rod | Statement: [Andy Samberg, notableWork, Hot Rod]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hot Rod
Context triple: [Andy Samberg, notableWork, Hot Rod]
  • A. Red Duster
    The Red Duster is the traditional British civil ensign, a red flag with the Union Jack in the canton historically flown by British merchant ships.
  • B. L’Auto
    L’Auto was a French sports newspaper best known for creating and organizing the Tour de France.
  • C. The Diesel
    The Diesel is the nickname of Pro Football Hall of Fame running back John Riggins, renowned for his powerful, hard-charging rushing style with the Washington Redskins.
  • D. Thunder Road
    Thunder Road is a critically acclaimed 1975 rock song by Bruce Springsteen that opens his album "Born to Run" and is celebrated for its cinematic storytelling and anthemic sound.
  • E. Revs
    Revs is the commonly used nickname for the New England Revolution, a professional Major League Soccer club based in the Greater Boston area.
  • 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: Hot Rod
Triple: [Andy Samberg, notableWork, Hot Rod]
Generated description
Hot Rod is a 2007 comedy film starring Andy Samberg as an inept stuntman attempting a massive jump to earn money for his stepfather’s surgery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hot Rod
Target entity description: Hot Rod is a 2007 comedy film starring Andy Samberg as an inept stuntman attempting a massive jump to earn money for his stepfather’s surgery.
  • A. Red Duster
    The Red Duster is the traditional British civil ensign, a red flag with the Union Jack in the canton historically flown by British merchant ships.
  • B. L’Auto
    L’Auto was a French sports newspaper best known for creating and organizing the Tour de France.
  • C. The Diesel
    The Diesel is the nickname of Pro Football Hall of Fame running back John Riggins, renowned for his powerful, hard-charging rushing style with the Washington Redskins.
  • D. Thunder Road
    Thunder Road is a critically acclaimed 1975 rock song by Bruce Springsteen that opens his album "Born to Run" and is celebrated for its cinematic storytelling and anthemic sound.
  • E. Revs
    Revs is the commonly used nickname for the New England Revolution, a professional Major League Soccer club based in the Greater Boston area.
  • 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_69a4937c9c188190aaa216f6b466f452 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4abb384988190949d2df65662f76d completed March 1, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d97a3b08190b7a5c635d74bcd47 completed March 3, 2026, 11:24 p.m.
NEDg Description generation batch_69a783814b188190b449cd191667f1a1 completed March 4, 2026, 12:57 a.m.
NED2 Entity disambiguation (via description) batch_69a7840593988190b6882b456f0eea41 completed March 4, 2026, 12:59 a.m.
Created at: March 1, 2026, 7:38 p.m.