Triple

T8545361
Position Surface form Disambiguated ID Type / Status
Subject Dazzle E202307 entity
Predicate title P38 FINISHED
Object Dazzle E202307 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: Dazzle | Statement: [Dazzle, title, Dazzle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dazzle
Context triple: [Dazzle, title, Dazzle]
  • A. Dazzle chosen
    "Dazzle" is a track featured on the 1982 album *Music for Chameleons* by Gary Numan.
  • B. Razzle Dazzle
    "Razzle Dazzle" is a 1955 rock and roll song by Bill Haley & His Comets that helped popularize the energetic, dance-oriented style of early rock music.
  • C. Glitz
    Glitz is a crime novel by Elmore Leonard that follows a tough Miami cop entangled with a vengeful ex-con and the seedy underworld of Atlantic City.
  • D. Kaleidoscope
    Kaleidoscope is the critically acclaimed 1999 debut studio album by American singer Kelis, known for its innovative fusion of R&B, hip hop, and electronic sounds.
  • E. Kaleidoscope
    "Kaleidoscope" is a science fiction short story by Ray Bradbury, best known for its haunting depiction of stranded astronauts reflecting on life and mortality as they drift through space.
  • 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_69ca832461e88190a654c5e44e233aa8 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe74f62148190bfd6cacf5d4f74b6 completed March 31, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6db3eef08190934f5b42807ad769 completed April 2, 2026, 1:23 p.m.
Created at: March 30, 2026, 6:18 p.m.