Triple

T18334755
Position Surface form Disambiguated ID Type / Status
Subject Julius Benedict E439240 entity
Predicate comedicDynamicWith P121403 FINISHED
Object Vincent Benedict 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: Vincent Benedict | Statement: [Julius Benedict, comedicDynamicWith, Vincent Benedict]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vincent Benedict
Context triple: [Julius Benedict, comedicDynamicWith, Vincent Benedict]
  • A. Vincent Benedict chosen
    Vincent Benedict is one of the mismatched twin brothers in the 1988 comedy film "Twins," portrayed as the street-smart, scheming counterpart to Arnold Schwarzenegger’s character.
  • B. Vincent Gray
    Vincent Gray is an American politician who served as the mayor of Washington, D.C., from 2011 to 2015.
  • C. Vincent Laresca
    Vincent Laresca is an American actor known for his supporting roles in film and television, often portraying tough or streetwise characters in crime dramas and thrillers.
  • D. Vincent
    Vincent is the mysterious, lion-like protagonist who dwells beneath New York City in the cult fantasy-romance TV series "Beauty and the Beast."
  • E. Vincent
    Vincent is a character from Disney's "Beauty and the Beast," known as one of the children in the extended universe of the story.
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50ecc91148190aa820fcd466009ce completed April 19, 2026, 5:20 p.m.
Created at: April 10, 2026, 10:36 a.m.