Triple

T15950258
Position Surface form Disambiguated ID Type / Status
Subject Thor Gundersen E386796 entity
Predicate alsoKnownAs P39 FINISHED
Object The Swede E82651 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: The Swede | Statement: [Thor Gundersen, alsoKnownAs, The Swede]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Swede
Context triple: [Thor Gundersen, alsoKnownAs, The Swede]
  • A. The Swede chosen
    The Swede is a prominent and menacing antagonist in the television series "Hell on Wheels," known for his cold, calculating nature and complex relationship with the show's protagonists.
  • B. the Swede
    The Swede is a tense, paranoid guest in Stephen Crane’s short story “The Blue Hotel,” whose escalating fear and mistrust drive much of the story’s conflict and tragedy.
  • C. The Three Swedes
    The Three Swedes were a comic trio known for their slapstick and character-based humor in early 20th-century American films.
  • D. Folkhemmet
    Folkhemmet is a Swedish political vision of a socially cohesive "people’s home" that inspired the development of Sweden’s modern welfare state.
  • E. Carlsson på taket
    Carlsson på taket is a mischievous, self-confident man with a propeller on his back from Astrid Lindgren’s children’s books, known for living on a rooftop and causing humorous chaos.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d4c5008190a56ebf8c28f712dc completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe78a76481909622d7a2443cba4d completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:53 a.m.