Triple

T10039884
Position Surface form Disambiguated ID Type / Status
Subject Magic E205266 entity
Predicate hasPart P35 FINISHED
Object Gypsy Biker E217011 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: Gypsy Biker | Statement: [Magic, hasPart, Gypsy Biker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gypsy Biker
Context triple: [Magic, hasPart, Gypsy Biker]
  • A. Gypsy Biker chosen
    Gypsy Biker is a song by Bruce Springsteen, featured on his 2007 album "Magic," that reflects on loss, war, and the disillusionment of the American working class.
  • B. The Bandit
    "The Bandit" is a song by American rock band Kings of Leon from their album "When You See Yourself."
  • C. Biker Boyz
    Biker Boyz is a 2003 action-drama film centered on rival African-American motorcycle clubs and underground street racing culture in California.
  • D. Roadie
    Roadie is a 1980 rock-comedy film starring Meat Loaf as a Texas truck driver who becomes an unlikely road crew legend in the music world.
  • E. Thieves Highway
    Thieves Highway is a 1949 film noir crime drama directed by Jules Dassin that follows the dangerous world of San Francisco produce truckers entangled in corruption and betrayal.
  • 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_69ca834f70e88190b2d74828b7767ec1 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcee186708190bc9fecd637b4f7e6 completed April 2, 2026, 2:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d28268ab648190a565472d00b289c2 completed April 5, 2026, 3:40 p.m.
Created at: March 30, 2026, 8:55 p.m.