Triple

T16345280
Position Surface form Disambiguated ID Type / Status
Subject Nina Simone in Concert E396913 entity
Predicate hasTrack P3284 FINISHED
Object Go Limp
"Go Limp" is a satirical civil rights–era protest song by Nina Simone that critiques social expectations and activism with sharp, ironic storytelling.
 E1209449 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: Go Limp | Statement: [Nina Simone in Concert, hasTrack, Go Limp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Go Limp
Context triple: [Nina Simone in Concert, hasTrack, Go Limp]
  • A. The Stumble
    "The Stumble" is a classic electric blues instrumental by guitarist Freddie King, renowned for its driving shuffle rhythm and influential lead guitar work.
  • B. Go Go
    Go Go is a tough, speed-obsessed engineering student and superheroine from Disney's Big Hero 6.
  • C. Down Bad
    "Down Bad" is a song by Taylor Swift from her 2024 album *The Tortured Poets Department*, exploring themes of heartbreak, obsession, and emotional vulnerability.
  • D. Gotta Go
    "Gotta Go" is a popular track by Nicki Minaj from her early mixtape era, showcasing her punchy flow and playful, boastful lyricism.
  • E. 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.
  • 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: Go Limp
Triple: [Nina Simone in Concert, hasTrack, Go Limp]
Generated description
"Go Limp" is a satirical civil rights–era protest song by Nina Simone that critiques social expectations and activism with sharp, ironic storytelling.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Go Limp
Target entity description: "Go Limp" is a satirical civil rights–era protest song by Nina Simone that critiques social expectations and activism with sharp, ironic storytelling.
  • A. The Stumble
    "The Stumble" is a classic electric blues instrumental by guitarist Freddie King, renowned for its driving shuffle rhythm and influential lead guitar work.
  • B. Go Go
    Go Go is a tough, speed-obsessed engineering student and superheroine from Disney's Big Hero 6.
  • C. Down Bad
    "Down Bad" is a song by Taylor Swift from her 2024 album *The Tortured Poets Department*, exploring themes of heartbreak, obsession, and emotional vulnerability.
  • D. Gotta Go
    "Gotta Go" is a popular track by Nicki Minaj from her early mixtape era, showcasing her punchy flow and playful, boastful lyricism.
  • E. 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.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2da0da1808190b6477613a07c7a88 completed April 18, 2026, 1:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002db00b4081909573afc66366a91c completed May 10, 2026, 7:03 a.m.
NEDg Description generation batch_6a0031c7b4fc8190bd021e5a97441503 completed May 10, 2026, 7:20 a.m.
NED2 Entity disambiguation (via description) batch_6a00324016f881909a0c641e738138d4 completed May 10, 2026, 7:22 a.m.
Created at: April 10, 2026, 5:07 a.m.