Triple

T8891442
Position Surface form Disambiguated ID Type / Status
Subject Back to the Future: The Animated Series E211685 entity
Predicate hasMainCharacter P1183 FINISHED
Object Verne Brown E742748 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: Verne Brown | Statement: [Back to the Future: The Animated Series, hasMainCharacter, Verne Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Verne Brown
Context triple: [Back to the Future: The Animated Series, hasMainCharacter, Verne Brown]
  • A. Verne Brown chosen
    Verne Brown is one of the time-traveling sons of Dr. Emmett Brown featured in the Back to the Future franchise.
  • B. Harlan Anderson
    Harlan Anderson was an American engineer and entrepreneur best known as a co-founder of the pioneering minicomputer company Digital Equipment Corporation (DEC).
  • C. Glen Whitmann
    Glen Whitmann is a fast-talking computer hacker and conspiracy theorist character from the Transformers film series.
  • D. Erle C. Kenton
    Erle C. Kenton was an American film director best known for his work on early horror and comedy films during Hollywood’s studio era.
  • E. Jerry Warriner
    Jerry Warriner is the charming, witty husband whose marital misadventures and romantic sparring drive the screwball comedy of the classic film "The Awful Truth."
  • 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_69ca83907954819096d52a245b635841 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61ba33c48190a657fc4147a326c0 completed April 1, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1c9433c81908621e1a2ba8b7bed completed April 3, 2026, 1:34 p.m.
Created at: March 30, 2026, 6:54 p.m.