Triple

T7813888
Position Surface form Disambiguated ID Type / Status
Subject OneRepublic E180753 entity
Predicate notableWork P4 FINISHED
Object Apologize E180754 NE FINISHED

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: Apologize | Statement: [OneRepublic, notableWork, Apologize]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apologize
Context triple: [OneRepublic, notableWork, Apologize]
  • A. Apologize chosen
    "Apologize" is a breakthrough pop-rock ballad by OneRepublic, written and produced by Ryan Tedder, that gained worldwide fame especially through its remixed version with Timbaland.
  • B. Apology
    Apology is a Socratic dialogue by Plato that presents Socrates’ defense speech at his trial, exploring themes of justice, virtue, and the examined life.
  • C. Sorry
    "Sorry" is a song by the American rock band Lemonade, known for its blend of indie rock and electronic pop elements.
  • D. Sorry
    "Sorry" is a 2015 dance-pop song by Canadian singer Justin Bieber that became a global hit and one of his signature tracks.
  • E. Sorry
    "Sorry" is a stand-up comedy special by Louis C.K. featuring his characteristic dark, self-deprecating humor and observational storytelling.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca827f6f148190beca4e245b993506 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf78f3d6481909841d64117f657e1 completed March 30, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb1472ee908190b073819f3dfad8ee completed March 31, 2026, 12:25 a.m.
Created at: March 30, 2026, 4:38 p.m.