Triple

T18993207
Position Surface form Disambiguated ID Type / Status
Subject In the Wind E464740 entity
Predicate includesSong P7178 FINISHED
Object Freight Train NE NERFINISHED

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: Freight Train | Statement: [In the Wind, includesSong, Freight Train]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Freight Train
Context triple: [In the Wind, includesSong, Freight Train]
  • A. Freight Train
    Freight Train is a country music album by American singer-songwriter Alan Jackson, known for its traditional sound and storytelling style.
  • B. Freight Train chosen
    "Freight Train" is a classic American folk song, written in the early 20th century and later popularized in the 1950s and 1960s, known for its gentle melody and poignant lyrics about travel and mortality.
  • C. Steam Train
    Steam Train is a YouTube gaming series and spin-off of Game Grumps in which Ross O’Donovan and co-hosts play and comment on video games.
  • D. The Railroad
    The Railroad is a 19th-century American folk song, also known as "The Railway," that reflects the expansion of rail transport and its impact on society.
  • E. LeTrainTrain
    LeTrainTrain is a television production company known for producing high-profile scripted series such as the crime drama "Tokyo Vice."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d67fc90081908f51668620fdc60a completed April 20, 2026, 7:32 a.m.
Created at: April 10, 2026, 12:01 p.m.