Triple

T4220084
Position Surface form Disambiguated ID Type / Status
Subject Rod Stewart E94316 entity
Predicate notableWork P4 FINISHED
Object Downtown Train
"Downtown Train" is a popular rock ballad best known from Rod Stewart’s hit 1989 cover of Tom Waits’ original song.
 E421100 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: Downtown Train | Statement: [Rod Stewart, notableWork, Downtown Train]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Downtown Train
Context triple: [Rod Stewart, notableWork, Downtown 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. Two Trains Running
    Two Trains Running is a play by August Wilson that explores the lives and struggles of African Americans in a 1960s Pittsburgh diner.
  • D. Last Train to Paris
    Last Train to Paris is a 2010 concept album by Diddy – Dirty Money that blends hip hop, R&B, and electronic dance music into a narrative about love and heartbreak.
  • E. The Station
    The Station is a painting by British artist L. S. Lowry, known for its distinctive depiction of industrial urban life with stylized figures and stark architectural forms.
  • 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: Downtown Train
Triple: [Rod Stewart, notableWork, Downtown Train]
Generated description
"Downtown Train" is a popular rock ballad best known from Rod Stewart’s hit 1989 cover of Tom Waits’ original song.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Downtown Train
Target entity description: "Downtown Train" is a popular rock ballad best known from Rod Stewart’s hit 1989 cover of Tom Waits’ original song.
  • 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. Two Trains Running
    Two Trains Running is a play by August Wilson that explores the lives and struggles of African Americans in a 1960s Pittsburgh diner.
  • D. Last Train to Paris
    Last Train to Paris is a 2010 concept album by Diddy – Dirty Money that blends hip hop, R&B, and electronic dance music into a narrative about love and heartbreak.
  • E. The Station
    The Station is a painting by British artist L. S. Lowry, known for its distinctive depiction of industrial urban life with stylized figures and stark architectural forms.
  • 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_69b3451997e08190851db4a9a588837d completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b34e0c84548190b051d32d434cbf04 completed March 12, 2026, 11:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5963ffacc8190843b60ea1b224f91 completed March 14, 2026, 5:09 p.m.
NEDg Description generation batch_69b596b842648190a6f00c37e23e311f completed March 14, 2026, 5:11 p.m.
NED2 Entity disambiguation (via description) batch_69b5976663d88190a73a729554e91074 completed March 14, 2026, 5:14 p.m.
Created at: March 12, 2026, 11:04 p.m.