Triple

T19665285
Position Surface form Disambiguated ID Type / Status
Subject Slow Train Coming E472183 entity
Predicate hasPart P35 FINISHED
Object Gotta Serve Somebody — 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: Gotta Serve Somebody | Statement: [Slow Train Coming, hasPart, Gotta Serve Somebody]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gotta Serve Somebody
Context triple: [Slow Train Coming, hasPart, Gotta Serve Somebody]
  • A. Gotta Serve Somebody chosen
    "Gotta Serve Somebody" is a Grammy-winning gospel-influenced song by Bob Dylan, released in 1979 as the lead track on his album "Slow Train Coming."
  • B. Gotta Be Somebody
    "Gotta Be Somebody" is a pop ballad originally by Nickelback that Shayne Ward covered, showcasing his powerful vocals and contemporary pop style.
  • C. You Got Served
    You Got Served is a 2004 American dance drama film centered on competitive street dancing and crew rivalries.
  • D. Gotta Have It
    "Gotta Have It" is a song by French singer Vanessa Paradis featured on her self-titled 1992 studio album.
  • E. Gotta Have It
    "Gotta Have It" is a high-energy hip hop track by Jay-Z and Kanye West from their collaborative album *Watch the Throne*, known for its dense sampling and rapid-fire back-and-forth verses.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6416857c88190acb3adbf3e585fe5 completed April 20, 2026, 3:08 p.m.
Created at: April 10, 2026, 1:45 p.m.