Triple

T246413
Position Surface form Disambiguated ID Type / Status
Subject The Orville E5047 entity
Predicate portrayedBy P1507 FINISHED
Object Scott Grimes E32392 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: Scott Grimes | Statement: [The Orville, portrayedBy, Scott Grimes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scott Grimes
Context triple: [The Orville, portrayedBy, Scott Grimes]
  • A. Marc Tarpenning
    Marc Tarpenning is an American engineer and entrepreneur best known as a co-founder of electric vehicle and clean energy company Tesla, Inc.
  • B. Cailee Spaeny
    Cailee Spaeny is an American actress known for her breakout role in the science fiction film "Pacific Rim: Uprising" and subsequent performances in both film and television.
  • C. Kate Mara
    Kate Mara is an American actress known for her roles in films like "The Martian" and "Brokeback Mountain" and TV series such as "House of Cards."
  • D. Wesley Addy
    Wesley Addy was an American character actor known for his work on stage, film, and television, including roles in classic movies like "Kiss Me Deadly" and collaborations with director Robert Aldrich.
  • E. Adrianne Palicki chosen
    Adrianne Palicki is an American actress best known for her roles in television series such as "Friday Night Lights," "Agents of S.H.I.E.L.D.," and "The Orville," as well as films like "G.I. Joe: Retaliation" and "John Wick."
  • 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_69a257c4bf688190a46ebbf411ab7473 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25d13b8088190a3f48f0388d57496 completed Feb. 28, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3914b6cb08190ae5413f46aedc23f completed March 1, 2026, 1:07 a.m.
Created at: Feb. 28, 2026, 2:54 a.m.