Triple

T9826044
Position Surface form Disambiguated ID Type / Status
Subject Peter Fonda as Wyatt E238654 entity
Predicate rides P23429 FINISHED
Object Captain America chopper
The Captain America chopper is the iconic, stars-and-stripes-painted custom motorcycle ridden by Peter Fonda’s character Wyatt in the 1969 film "Easy Rider."
 E823752 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: Captain America chopper | Statement: [Peter Fonda as Wyatt, rides, Captain America chopper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Captain America chopper
Context triple: [Peter Fonda as Wyatt, rides, Captain America chopper]
  • A. Blackhawk
    Blackhawk is the athletic and school spirit mascot representing Springs Valley High School’s teams and student body.
  • B. Helicarrier
    The Helicarrier is a massive flying aircraft carrier that serves as S.H.I.E.L.D.’s primary mobile command center in the Marvel universe.
  • C. Falcon
    The Falcon is a bird of prey known for its exceptional speed, keen vision, and use in the sport of falconry.
  • D. Falcon
    Falcon is a Marvel Comics superhero and member of the Avengers, known for his advanced winged flight suit and partnership with Captain America.
  • E. Falcon
    Falcon is a family of large language models designed for high-performance text generation and widely used in open-source AI applications.
  • 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: Captain America chopper
Triple: [Peter Fonda as Wyatt, rides, Captain America chopper]
Generated description
The Captain America chopper is the iconic, stars-and-stripes-painted custom motorcycle ridden by Peter Fonda’s character Wyatt in the 1969 film "Easy Rider."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Captain America chopper
Target entity description: The Captain America chopper is the iconic, stars-and-stripes-painted custom motorcycle ridden by Peter Fonda’s character Wyatt in the 1969 film "Easy Rider."
  • A. Blackhawk
    Blackhawk is the athletic and school spirit mascot representing Springs Valley High School’s teams and student body.
  • B. Helicarrier
    The Helicarrier is a massive flying aircraft carrier that serves as S.H.I.E.L.D.’s primary mobile command center in the Marvel universe.
  • C. Falcon
    The Falcon is a bird of prey known for its exceptional speed, keen vision, and use in the sport of falconry.
  • D. Falcon
    Falcon is a Marvel Comics superhero and member of the Avengers, known for his advanced winged flight suit and partnership with Captain America.
  • E. Falcon
    Falcon is a family of large language models designed for high-performance text generation and widely used in open-source AI applications.
  • 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_69ca84e0dd1881909800765d1e21f735 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb32370e8819087c85fb8328587be completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc84b0a481909000a0f04e3676d0 completed April 5, 2026, 2:44 a.m.
NEDg Description generation batch_69d1ccf59c68819082b4aa37e06d2aaf completed April 5, 2026, 2:46 a.m.
NED2 Entity disambiguation (via description) batch_69d1d0d945d48190b56b7fd2ce568a13 completed April 5, 2026, 3:02 a.m.
Created at: March 30, 2026, 8:31 p.m.