Triple

T18960452
Position Surface form Disambiguated ID Type / Status
Subject Everything I Love E463897 entity
Predicate hasSingle P3282 FINISHED
Object There Goes
"There Goes" is a country song recorded by Kenny Chesney, known for its reflective lyrics about the end of a relationship.
 E1350736 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: There Goes | Statement: [Everything I Love, hasSingle, There Goes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: There Goes
Context triple: [Everything I Love, hasSingle, There Goes]
  • A. Got to Go
    "Got to Go" is a song by the South Korean girl group Flo (often stylized as FLOT) known for its catchy K-pop sound and polished production.
  • B. There You Go
    "There You Go" is the 2000 debut single by American singer Pink, an R&B-influenced breakup song that helped launch her music career.
  • C. Gotta Go
    "Gotta Go" is a popular track by Nicki Minaj from her early mixtape era, showcasing her punchy flow and playful, boastful lyricism.
  • D. What Goes On
    "What Goes On" is a country-flavored rock song by the Beatles, sung by Ringo Starr and released on their 1965 album Rubber Soul.
  • E. What Goes Up
    "What Goes Up" is a science fiction short story by Arthur C. Clarke, included in his humorous bar-story collection *Tales from the White Hart*.
  • 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: There Goes
Triple: [Everything I Love, hasSingle, There Goes]
Generated description
"There Goes" is a country song recorded by Kenny Chesney, known for its reflective lyrics about the end of a relationship.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: There Goes
Target entity description: "There Goes" is a country song recorded by Kenny Chesney, known for its reflective lyrics about the end of a relationship.
  • A. Got to Go
    "Got to Go" is a song by the South Korean girl group Flo (often stylized as FLOT) known for its catchy K-pop sound and polished production.
  • B. There You Go
    "There You Go" is the 2000 debut single by American singer Pink, an R&B-influenced breakup song that helped launch her music career.
  • C. Gotta Go
    "Gotta Go" is a popular track by Nicki Minaj from her early mixtape era, showcasing her punchy flow and playful, boastful lyricism.
  • D. What Goes On
    "What Goes On" is a country-flavored rock song by the Beatles, sung by Ringo Starr and released on their 1965 album Rubber Soul.
  • E. What Goes Up
    "What Goes Up" is a science fiction short story by Arthur C. Clarke, included in his humorous bar-story collection *Tales from the White Hart*.
  • 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d5d1d784819095f3f886d7c47175 completed April 20, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a059fd91b248190962ec54be5d75d59 completed May 14, 2026, 10:11 a.m.
NEDg Description generation batch_6a05a14c7a548190921d1c750de71741 completed May 14, 2026, 10:17 a.m.
NED2 Entity disambiguation (via description) batch_6a05a2030e788190acb66dade85783ad completed May 14, 2026, 10:20 a.m.
Created at: April 10, 2026, noon