Triple

T1046497
Position Surface form Disambiguated ID Type / Status
Subject Joey Ramone E22590 entity
Predicate notableWork P4 FINISHED
Object Rocket to Russia E116027 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: Rocket to Russia | Statement: [Joey Ramone, notableWork, Rocket to Russia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rocket to Russia
Context triple: [Joey Ramone, notableWork, Rocket to Russia]
  • A. Rocket to Russia chosen
    Rocket to Russia is a 1977 studio album by the American punk rock band Ramones, widely regarded as one of their finest and most influential releases.
  • B. Rocket
    Rocket was the famous nickname of Maurice Richard, the legendary Canadian ice hockey player renowned for his speed, scoring ability, and iconic status with the Montreal Canadiens.
  • C. The Rocket
    The Rocket was an early 19th-century steam locomotive designed by George Stephenson that became famous for winning the 1829 Rainhill Trials and proving the viability of railway transport.
  • D. To Space and Back
    "To Space and Back" is a popular science book by astronaut Sally Ride that recounts her experiences in space and explains the science and technology of spaceflight for a general audience.
  • E. Le Shuttle
    Le Shuttle is a vehicle-carrying rail service that transports cars, trucks, and passengers through the Channel Tunnel between the United Kingdom and France.
  • 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_69a493d91478819094cc01fb65564bc1 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b84bb0048190badf6d2f7f684d99 completed March 1, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bcb65d08190b2ea04b6de3bb39b completed March 7, 2026, 2:52 p.m.
Created at: March 1, 2026, 7:42 p.m.