Triple

T8810660
Position Surface form Disambiguated ID Type / Status
Subject Ulzana's Raid E209650 entity
Predicate castMember P1668 FINISHED
Object Karl Swenson E432480 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: Karl Swenson | Statement: [Ulzana's Raid, castMember, Karl Swenson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karl Swenson
Context triple: [Ulzana's Raid, castMember, Karl Swenson]
  • A. Karl Swenson chosen
    Karl Swenson was an American character actor known for his numerous supporting roles in film, radio, and television during the mid-20th century.
  • B. Karl Sodersten
    Karl Sodersten is a film editor known for his work on the Australian psychological thriller "Lantana."
  • C. Roland Swenson
    Roland Swenson is an American music and media executive best known as a co-founder and longtime leader of the South by Southwest (SXSW) festival in Austin, Texas.
  • D. Larry Bryggman
    Larry Bryggman is an American actor best known for his long-running role on the soap opera "As the World Turns" and various film and television appearances.
  • E. John Christensen
    John Christensen is a relatively common personal name shared by multiple individuals across various professions, including sports, academia, and the arts.
  • 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_69ca8363f3308190a47e3f1ebd51f613 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fed18f8819087b0282bf8c4208c completed March 31, 2026, 11:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfa04f84408190ac00fd9ec089790f completed April 3, 2026, 11:11 a.m.
Created at: March 30, 2026, 6:45 p.m.