Triple

T16029003
Position Surface form Disambiguated ID Type / Status
Subject Shawn Patterson E388793 entity
Predicate notableWork P4 FINISHED
Object Everything Is Awesome E367204 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: Everything Is Awesome | Statement: [Shawn Patterson, notableWork, Everything Is Awesome]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Everything Is Awesome
Context triple: [Shawn Patterson, notableWork, Everything Is Awesome]
  • A. Everything Is Awesome chosen
    "Everything Is Awesome" is a high-energy pop song best known as the catchy theme from *The Lego Movie*, celebrating optimism and teamwork.
  • B. It's All Good
    "It's All Good" is a song by Bob Dylan that appears on his 2009 album *Together Through Life*, reflecting the record’s blues-infused, roots-rock style.
  • C. Everything Is Green
    Everything Is Green is a short story by David Foster Wallace, known for its minimalist style and exploration of emotional disconnection and everyday despair.
  • D. Everything Is Fair
    "Everything Is Fair" is a socially conscious hip-hop track by A Tribe Called Quest from their acclaimed 1991 album *The Low End Theory*.
  • E. The Most Amazing Thing
    "The Most Amazing Thing" is a notable musical number from the stage adaptation of Louisa May Alcott's novel *Little Women*.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1832a56ec8190a47fd2cf83a42fd4 completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf33c6a881909284933ea3b7dd6e completed May 10, 2026, 12:20 a.m.
Created at: April 10, 2026, 4:56 a.m.