Triple

T22391631
Position Surface form Disambiguated ID Type / Status
Subject Lifesblood E553524 entity
Predicate hasTrack P3284 FINISHED
Object Thank You for This — NE NERFINISHED

How this triple was built (3 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: Thank You for This | Statement: [Lifesblood, hasTrack, Thank You for This]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thank You for This
Context triple: [Lifesblood, hasTrack, Thank You for This]
  • A. Thank You So Much
    "Thank You So Much" is a lesser-known song composed by Richard Rodgers, the influential American composer famed for his work in musical theatre.
  • B. I Thank You
    "I Thank You" is a classic 1968 soul song by American duo Sam & Dave, celebrated for its energetic vocals and enduring influence on R&B music.
  • C. This Is the Thanks I Get
    "This Is the Thanks I Get" is an R&B song by American singer, songwriter, and producer Mario Winans.
  • D. The Thanks I Get
    "The Thanks I Get" is an indie pop song by Coconut Records, the solo music project of actor and musician Jason Schwartzman.
  • E. Thank You a Lot
    "Thank You a Lot" is an independent drama film centered on a struggling music manager in Austin, Texas, known for its intimate portrayal of family, ambition, and the local music scene.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thank You for This
Target entity description: "Thank You for This" is a song by the American metalcore band Converge from their early EP *Lifesblood*.
  • A. Thank You So Much
    "Thank You So Much" is a lesser-known song composed by Richard Rodgers, the influential American composer famed for his work in musical theatre.
  • B. I Thank You
    "I Thank You" is a classic 1968 soul song by American duo Sam & Dave, celebrated for its energetic vocals and enduring influence on R&B music.
  • C. This Is the Thanks I Get
    "This Is the Thanks I Get" is an R&B song by American singer, songwriter, and producer Mario Winans.
  • D. The Thanks I Get
    "The Thanks I Get" is an indie pop song by Coconut Records, the solo music project of actor and musician Jason Schwartzman.
  • E. Thank You a Lot
    "Thank You a Lot" is an independent drama film centered on a struggling music manager in Austin, Texas, known for its intimate portrayal of family, ambition, and the local music scene.
  • F. None of above. chosen

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_69e11e4cf87c8190a1ff474daec326b7 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1585b56208190b53b90a81a807a9d completed April 29, 2026, 1:01 a.m.
Created at: April 16, 2026, 8:45 p.m.