Triple

T19695498
Position Surface form Disambiguated ID Type / Status
Subject Mr. Cooger E472946 entity
Predicate associatedWith P37 FINISHED
Object Mr. Dark NE NERFINISHED

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: Mr. Dark | Statement: [Mr. Cooger, associatedWith, Mr. Dark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. Dark
Context triple: [Mr. Cooger, associatedWith, Mr. Dark]
  • A. Mr. Dark chosen
    Mr. Dark is the sinister, enigmatic leader of a traveling carnival who preys on human desires and fears in Ray Bradbury’s dark fantasy novel "Something Wicked This Way Comes."
  • B. Christopher Dark
    Christopher Dark was an American character actor active in film and television during the mid-20th century, often appearing in Westerns and crime dramas.
  • C. Damien Darhk
    Damien Darhk is a powerful and ruthless DC Comics supervillain, best known in television for being a magically enhanced former League of Assassins member and major antagonist in the Arrowverse.
  • D. Nick Shadow
    Nick Shadow is the demonic tempter and antagonist in Igor Stravinsky’s opera *The Rake’s Progress*, who leads the protagonist Tom Rakewell to ruin.
  • E. Don LaRue
    Don LaRue is an individual notable enough to be recognized as a prominent bearer of the surname LaRue.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e642147c3c8190a4c788e4bb48fe11 completed April 20, 2026, 3:11 p.m.
Created at: April 10, 2026, 1:46 p.m.