Triple

T17891017
Position Surface form Disambiguated ID Type / Status
Subject Mr. White E447314 entity
Predicate associatedWith P37 FINISHED
Object Mr. Slate 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. Slate | Statement: [Mr. White, associatedWith, Mr. Slate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. Slate
Context triple: [Mr. White, associatedWith, Mr. Slate]
  • A. Mr. Slate chosen
    Mr. Slate is Fred Flintstone’s gruff but often comically exasperated boss at the Bedrock Quarry in the animated television series "The Flintstones."
  • B. Mr. Rout
    Mr. Rout is the central figure in Joseph Conrad’s short story "Typhoon," serving as the steadfast sea captain whose leadership is tested by a violent storm at sea.
  • C. Mr. Lloyd
    Mr. Lloyd is a character in the film "The Wedding Party," contributing to the story’s ensemble of wedding guests and their intertwined relationships.
  • D. Mr. Vickle
    Mr. Vickle is a recurring adult character in the animated series "Kick Buttowski: Suburban Daredevil," known for his eccentric, somewhat awkward personality and interactions with the show's young daredevil protagonist.
  • E. Mr. Skeffington
    Mr. Skeffington is a 1944 drama film starring Bette Davis, known for its exploration of vanity, marriage, and personal transformation.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49d7948888190b59ddc7061d13e84 completed April 19, 2026, 9:16 a.m.
Created at: April 10, 2026, 10:18 a.m.