Triple

T9473705
Position Surface form Disambiguated ID Type / Status
Subject Dan Goodman E228456 entity
Predicate songPerformedIn P11145 FINISHED
Object It’s Gonna Be Good
"It’s Gonna Be Good" is a musical track performed by artist Dan Goodman.
 E801432 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: It’s Gonna Be Good | Statement: [Dan Goodman, songPerformedIn, It’s Gonna Be Good]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: It’s Gonna Be Good
Context triple: [Dan Goodman, songPerformedIn, It’s Gonna Be Good]
  • A. What’s It Gonna Be
    "What’s It Gonna Be" is a song featured on John Legend’s 2006 album *Evolver*.
  • B. Be Good
    "Be Good" is a critically acclaimed jazz and soul album by American singer-songwriter Gregory Porter, noted for its warm vocals, sophisticated songwriting, and emotional depth.
  • C. Be Good
    "Be Good" is a song performed by the character Beth Greene in the television series The Walking Dead.
  • D. Something Good
    "Something Good" is a song by composer Richard Rodgers, best known as one of the romantic ballads from the film adaptation of the musical *The Sound of Music*.
  • E. We’re Gonna Be All Right
    "We’re Gonna Be All Right" is a witty, sophisticated song by Richard Rodgers (with lyrics by Stephen Sondheim) from the 1965 Broadway musical *Do I Hear a Waltz?*, known for its sharp, ironic take on marriage.
  • 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: It’s Gonna Be Good
Triple: [Dan Goodman, songPerformedIn, It’s Gonna Be Good]
Generated description
"It’s Gonna Be Good" is a musical track performed by artist Dan Goodman.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: It’s Gonna Be Good
Target entity description: "It’s Gonna Be Good" is a musical track performed by artist Dan Goodman.
  • A. What’s It Gonna Be
    "What’s It Gonna Be" is a song featured on John Legend’s 2006 album *Evolver*.
  • B. Be Good
    "Be Good" is a critically acclaimed jazz and soul album by American singer-songwriter Gregory Porter, noted for its warm vocals, sophisticated songwriting, and emotional depth.
  • C. Be Good
    "Be Good" is a song performed by the character Beth Greene in the television series The Walking Dead.
  • D. Something Good
    "Something Good" is a song by composer Richard Rodgers, best known as one of the romantic ballads from the film adaptation of the musical *The Sound of Music*.
  • E. We’re Gonna Be All Right
    "We’re Gonna Be All Right" is a witty, sophisticated song by Richard Rodgers (with lyrics by Stephen Sondheim) from the 1965 Broadway musical *Do I Hear a Waltz?*, known for its sharp, ironic take on marriage.
  • 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_69ca847162c48190b079076c9595513c completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7ff23aec8190b5341eb9bd816a43 completed April 1, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d122d625fc8190b8222930449ad3da completed April 4, 2026, 2:40 p.m.
NEDg Description generation batch_69d12395841c8190857de8a50ab6345c completed April 4, 2026, 2:43 p.m.
NED2 Entity disambiguation (via description) batch_69d1275bcbd88190a5742a9cf802425a completed April 4, 2026, 2:59 p.m.
Created at: March 30, 2026, 7:54 p.m.