Triple

T14120507
Position Surface form Disambiguated ID Type / Status
Subject Flounder E339891 entity
Predicate voicedBy P2181 FINISHED
Object Jason Marin E339894 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: Jason Marin | Statement: [Flounder, voicedBy, Jason Marin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jason Marin
Context triple: [Flounder, voicedBy, Jason Marin]
  • A. Jason Marin chosen
    Jason Marin is an American actor and voice actor best known for voicing Flounder in Disney’s animated film "The Little Mermaid" (1989).
  • B. David Marciano
    David Marciano is an American actor best known for his roles in television series such as "Due South," "Homeland," and "The Shield."
  • C. Jason Siemon
    Jason Siemon is an American former professional basketball player who spent much of his career in European leagues, particularly in the Netherlands and the United Kingdom.
  • D. Ryan Amon
    Ryan Amon is a film composer best known for his powerful, futuristic score for the science fiction movie "Elysium."
  • E. Joel Knox
    Joel Knox is the introspective young boy at the center of Truman Capote’s Southern Gothic novel "Other Voices, Other Rooms," whose journey to find his estranged father doubles as a haunting exploration of identity and sexuality.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de60942a588190beff0058a92f7051 completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf0641008190b88efacc02ba5314 completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:22 p.m.