Triple

T15551593
Position Surface form Disambiguated ID Type / Status
Subject Jami Gertz E370756 entity
Predicate notableWork P4 FINISHED
Object Twister E382294 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: Twister | Statement: [Jami Gertz, notableWork, Twister]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Twister
Context triple: [Jami Gertz, notableWork, Twister]
  • A. Twister
    "Twister" is a song from Mariah Carey's 2001 album *Glitter*, reflecting on loss and emotional vulnerability.
  • B. Twister
    Twister is a wooden roller coaster located at the Gröna Lund amusement park in Stockholm, Sweden.
  • C. Twister chosen
    Twister is a 1996 disaster film about storm chasers pursuing powerful tornadoes, noted for its groundbreaking special effects and starring Bill Paxton and Helen Hunt.
  • D. Twister
    Twister is the official mascot of the Cincinnati Cyclones minor league ice hockey team, known for entertaining fans at games and community events.
  • E. Mister Twister
    Mister Twister is a satirical narrative poem by Soviet writer Samuil Marshak that critiques American bourgeois prejudice and racism through the story of a wealthy tourist visiting Leningrad.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a9551288190a583e8291c35f521 completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4560008c81908ebd278c3dc45045 completed May 9, 2026, 2:32 p.m.
Created at: April 10, 2026, 4:08 a.m.