Triple

T20347340
Position Surface form Disambiguated ID Type / Status
Subject The Day After Tomorrow E495904 entity
Predicate castMember P1668 FINISHED
Object Kenneth Welsh 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: Kenneth Welsh | Statement: [The Day After Tomorrow, castMember, Kenneth Welsh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenneth Welsh
Context triple: [The Day After Tomorrow, castMember, Kenneth Welsh]
  • A. Kenneth Welsh chosen
    Kenneth Welsh was a Canadian character actor best known for his prolific work in film and television, including his memorable role as Windom Earle on the series "Twin Peaks."
  • B. Ronald Kinnoch
    Ronald Kinnoch was a British film producer best known for his work on mid-20th-century genre films, including influential science fiction and horror titles.
  • C. Humphrey Davies
    Humphrey Davies was a distinguished British translator renowned for bringing modern and classical Arabic literature to English-speaking audiences.
  • D. Ray Deakin
    Ray Deakin was an English professional footballer, best known as a tough-tackling defender whose performances earned him recognition in the Bolton Wanderers Hall of Fame.
  • E. Michael Gwynn
    Michael Gwynn was a British character actor known for his roles in mid-20th-century film and television, including appearances in classic horror and science fiction productions.
  • 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_69e0b4a3320881909495ae8bc30bc2dc completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67839e7b48190876ce7133a20c65b completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:24 a.m.