Triple

T6585753
Position Surface form Disambiguated ID Type / Status
Subject International Herb E159214 entity
Predicate hasTrack P3284 FINISHED
Object This Train
"This Train" is a song by reggae artist International Herb, likely reflecting his roots-influenced style and themes.
E604029 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: This Train | Statement: [International Herb, hasTrack, This Train]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: This Train
Context triple: [International Herb, hasTrack, This Train]
  • A. Go By Train
    "Go By Train" is the iconic neon-lit slogan displayed atop Portland Union Station that promotes rail travel and has become a recognizable symbol of the city.
  • B. Downbound Train
    "Downbound Train" is a somber, narrative-driven rock song by Bruce Springsteen that appears on his 1984 album *Born in the U.S.A.*
  • C. Stop This Train
    "Stop This Train" is a reflective folk-pop song by John Mayer that explores themes of aging, change, and the passage of time.
  • D. Sleep Train
    Sleep Train is a former American mattress retail chain known for its extensive network of bedding stores, particularly in the western United States.
  • E. Stop That Train
    "Stop That Train" is a reggae song popularized by Bob Marley and the Wailers, known for its laid-back groove and themes of departure and escape.
  • 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: This Train
Triple: [International Herb, hasTrack, This Train]
Generated description
"This Train" is a song by reggae artist International Herb, likely reflecting his roots-influenced style and themes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: This Train
Target entity description: "This Train" is a song by reggae artist International Herb, likely reflecting his roots-influenced style and themes.
  • A. Go By Train
    "Go By Train" is the iconic neon-lit slogan displayed atop Portland Union Station that promotes rail travel and has become a recognizable symbol of the city.
  • B. Downbound Train
    "Downbound Train" is a somber, narrative-driven rock song by Bruce Springsteen that appears on his 1984 album *Born in the U.S.A.*
  • C. Stop This Train
    "Stop This Train" is a reflective folk-pop song by John Mayer that explores themes of aging, change, and the passage of time.
  • D. Sleep Train
    Sleep Train is a former American mattress retail chain known for its extensive network of bedding stores, particularly in the western United States.
  • E. Stop That Train
    "Stop That Train" is a reggae song popularized by Bob Marley and the Wailers, known for its laid-back groove and themes of departure and escape.
  • 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_69c688366ce8819083f8883983c0df92 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6aeae89308190a26cf090a9b6cf2b completed March 27, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d576ab288190ac7e7b58e974697c completed March 27, 2026, 7:07 p.m.
NEDg Description generation batch_69c6d828620081909c1b4dfaa96efd62 completed March 27, 2026, 7:19 p.m.
NED2 Entity disambiguation (via description) batch_69c6d8a3d194819080f33e179a8a8679 completed March 27, 2026, 7:21 p.m.
Created at: March 27, 2026, 1:54 p.m.