Triple

T9489347
Position Surface form Disambiguated ID Type / Status
Subject Alexander Skarsgård E228845 entity
Predicate familyName P18 FINISHED
Object Skarsgård E344797 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: Skarsgård | Statement: [Alexander Skarsgård, familyName, Skarsgård]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skarsgård
Context triple: [Alexander Skarsgård, familyName, Skarsgård]
  • A. Skarsgård chosen
    Skarsgård is a prominent Swedish acting family name associated with several internationally recognized film and television performers.
  • 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. Gustaf Skarsgård
    Gustaf Skarsgård is a Swedish actor known for his roles in the TV series "Vikings" and "Westworld" as well as various acclaimed Scandinavian films.
  • D. Valter Skarsgård
    Valter Skarsgård is a Swedish actor and member of the prominent Skarsgård acting family, known for roles in film and television.
  • 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_69ca847424f081908180305555139f7a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd80c5a05c8190b97d34f010e60ca1 completed April 1, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69d139fdaccc8190b5c160aedcfcceca completed April 4, 2026, 4:19 p.m.
Created at: March 30, 2026, 7:55 p.m.