Triple

T16225974
Position Surface form Disambiguated ID Type / Status
Subject Dark Knight E393844 entity
Predicate manufacturer P490 FINISHED
Object Mack Rides E326075 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: Mack Rides | Statement: [Dark Knight, manufacturer, Mack Rides]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mack Rides
Context triple: [Dark Knight, manufacturer, Mack Rides]
  • A. Mack Rides chosen
    Mack Rides is a German amusement ride manufacturer known for designing and building roller coasters and other attractions for theme parks worldwide.
  • B. Mack Attack
    "Mack Attack" is the nickname given to Game 4 of the 1929 World Series, remembered for the Philadelphia Athletics' stunning late-inning comeback against the Chicago Cubs under manager Connie Mack.
  • C. Go Mack
    Go Mack is a hip-hop music producer known for his work on the album "Black Mafia Life."
  • D. The Mack
    The Mack is a 1973 blaxploitation crime film centered on a charismatic pimp navigating power struggles in Oakland’s criminal underworld.
  • E. When Mack Came Back
    "When Mack Came Back" is a children's novel by Brad Strickland that follows a boy whose life is transformed when his beloved dog mysteriously returns after being presumed dead.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d25f8bc81909aa59b794a528db2 completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ed55a7c8190b4bc8bc325a5da5b completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:03 a.m.