Triple

T16331419
Position Surface form Disambiguated ID Type / Status
Subject Thundering Rails E396561 entity
Predicate hasTitle P38 FINISHED
Object Thundering Rails E396561 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: Thundering Rails | Statement: [Thundering Rails, hasTitle, Thundering Rails]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thundering Rails
Context triple: [Thundering Rails, hasTitle, Thundering Rails]
  • A. Thundering Rails chosen
    "Thundering Rails" is an episode title from the 1939 science-fiction movie serial *The Phantom Creeps*, starring Bela Lugosi.
  • B. Rock Rail
    Rock Rail is a UK-based rolling stock leasing company that finances and owns modern passenger train fleets for operation on the British rail network.
  • C. Thundering Third
    Thundering Third is the nickname of the 3rd Battalion, 1st Marines, a highly regarded infantry battalion of the United States Marine Corps known for its combat history and operational effectiveness.
  • D. Black Thunder
    Black Thunder is a 1936 historical novel by Arna Bontemps that dramatizes Gabriel Prosser’s planned slave revolt in early 19th-century Virginia.
  • E. Tren a las Nubes
    Tren a las Nubes is a famous Argentine tourist train that traverses high-altitude tracks through the Andes in Salta Province, offering dramatic mountain and viaduct views.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4dfd9688190a749e48ebc055baf completed April 17, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a002613c0e88190b91da8eba683c864 completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:07 a.m.