Triple

T14703086
Position Surface form Disambiguated ID Type / Status
Subject Ralph E345356 entity
Predicate enemyOf P437 FINISHED
Object Turbo / King Candy E834620 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: Turbo / King Candy | Statement: [Ralph, enemyOf, Turbo / King Candy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turbo / King Candy
Context triple: [Ralph, enemyOf, Turbo / King Candy]
  • A. King Candy chosen
    King Candy is the main antagonist of Disney's animated film "Wreck-It Ralph," a duplicitous ruler of the Sugar Rush game world who hides a dark secret about his true identity.
  • B. Turbo
    Turbo is a 2013 animated sports-comedy film from DreamWorks Animation about a garden snail who gains incredible speed and pursues his dream of racing in the Indianapolis 500.
  • C. Turbo
    Turbo is a Colombian port city in the Antioquia Department, located on the Gulf of Urabá and known as a key gateway between the interior of Colombia and the Caribbean Sea.
  • D. Turbo
    Turbo is a hip-hop record producer known for crafting melodic, trap-influenced beats for prominent artists such as Gunna, Young Thug, and Lil Baby.
  • E. The Turbo Terrific
    The Turbo Terrific is Peter Perfect’s sleek, high-performance race car from the animated television series "Wacky Races."
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb6071e5c8190bb5509c859135c2d completed April 14, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf0861c308190af0b5da403ecb321 completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:28 a.m.