Triple

T4150436
Position Surface form Disambiguated ID Type / Status
Subject The Devil All the Time E89889 entity
Predicate castMember P1668 FINISHED
Object Bill Skarsgård E194697 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: Bill Skarsgård | Statement: [The Devil All the Time, castMember, Bill Skarsgård]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Skarsgård
Context triple: [The Devil All the Time, castMember, Bill Skarsgård]
  • A. Bill Skarsgård chosen
    Bill Skarsgård is a Swedish actor best known internationally for his chilling portrayal of Pennywise the Dancing Clown in the horror film "It" (2017) and its sequel.
  • B. Alexander Skarsgård
    Alexander Skarsgård is a Swedish actor known for his roles in projects such as "True Blood," "Big Little Lies," and various major film and television productions.
  • C. Skarsgård
    Skarsgård is a prominent Swedish acting family name associated with several internationally recognized film and television performers.
  • D. Joel Kinnaman
    Joel Kinnaman is a Swedish-American actor known for roles in films like "The Suicide Squad" and series such as "The Killing" and "Altered Carbon."
  • E. Stellan Skarsgård
    Stellan Skarsgård is a Swedish actor known for his versatile performances in international films and television, including major roles in projects like "Good Will Hunting," "Chernobyl," and the "Pirates of the Caribbean" and "Dune" franchises.
  • 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_69aed95a59a881909b26e70b42c6811a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0274f440819087dd58a9ce45cce5 completed March 9, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f34c748819093d03ccddd3e1f75 completed March 14, 2026, 3:31 p.m.
Created at: March 9, 2026, 3:43 p.m.