Triple

T21957857
Position Surface form Disambiguated ID Type / Status
Subject Ben and Kate E542237 entity
Predicate leadActor P1507 FINISHED
Object Nat Faxon 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: Nat Faxon | Statement: [Ben and Kate, leadActor, Nat Faxon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nat Faxon
Context triple: [Ben and Kate, leadActor, Nat Faxon]
  • A. Nat Faxon chosen
    Nat Faxon is an American actor, comedian, screenwriter, and director known for co-writing the Oscar-winning film "The Descendants" and co-directing character-driven comedies.
  • B. Zach Woods
    Zach Woods is an American actor and comedian best known for his roles on television series such as "The Office," "Silicon Valley," and "Avenue 5."
  • C. Bryce Wood
    Bryce Wood was a prominent historian and scholar of inter-American relations whose work significantly advanced the study of Latin American politics and U.S.–Latin American diplomacy.
  • D. Justinas Staugaitis
    Justinas Staugaitis was a Lithuanian Roman Catholic bishop and politician who played a key role in the country’s statehood, including helping to establish its independence in the early 20th century.
  • E. Michael Angarano
    Michael Angarano is an American actor known for his work in independent films and television, including prominent roles in projects like "Sky High," "The Forbidden Kingdom," and the series "This Is Us."
  • 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_69e0c47fab1081908dc74a6545dbb051 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1244108948190a08e6966e55c4acd completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 8 p.m.