Triple

T19257130
Position Surface form Disambiguated ID Type / Status
Subject Truth E481544 entity
Predicate hasTrack P3284 FINISHED
Object Shapes of Things 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: Shapes of Things | Statement: [Truth, hasTrack, Shapes of Things]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shapes of Things
Context triple: [Truth, hasTrack, Shapes of Things]
  • A. Shapes of Things chosen
    "Shapes of Things" is a rock song most famously associated with the Yardbirds, known for its innovative guitar work and early psychedelic sound.
  • B. The Shape We’re In
    "The Shape We’re In" is a short story by Jonathan Lethem, included in his collection *Men and Cartoons*, that blends speculative fiction with themes of identity and contemporary culture.
  • C. Micachu and the Shapes
    Micachu and the Shapes is an experimental pop and indie rock band led by British musician and composer Mica Levi, known for its unconventional song structures and use of homemade instruments.
  • D. No Matter What Shape
    "No Matter What Shape" is an instrumental rock track by The T-Bones, best known for its distinctive melody and use in 1960s Alka-Seltzer commercials.
  • E. The Shape
    The Shape is the silent, masked embodiment of pure evil and the primary antagonist in John Carpenter’s Halloween horror film franchise.
  • 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb862f848190977987e0327ce41d completed April 20, 2026, 10:10 a.m.
Created at: April 10, 2026, 1:28 p.m.