Triple

T4345383
Position Surface form Disambiguated ID Type / Status
Subject Sixten Sason E97886 entity
Predicate name P16 FINISHED
Object Sixten Sason E97886 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: Sixten Sason | Statement: [Sixten Sason, name, Sixten Sason]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sixten Sason
Context triple: [Sixten Sason, name, Sixten Sason]
  • A. Sixten Sason chosen
    Sixten Sason was a pioneering Swedish industrial designer best known for shaping Saab’s early automobiles and helping define the brand’s distinctive aerodynamic style.
  • B. Sattler
    Sattler is a German-origin surname borne by various notable individuals across fields such as politics, science, and the arts.
  • C. Fedje
    Fedje is a small island municipality off the western coast of Norway, known for its fishing heritage and scenic North Sea landscapes.
  • D. Seiskari
    Seiskari is an island located in the Gulf of Finland, historically known as a fishing community and part of the outer archipelago in the eastern Baltic Sea.
  • E. Vilailuck Teigen
    Vilailuck Teigen is a Thai-American television personality and social media figure best known as the mother of model and author Chrissy Teigen.
  • 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_69b34548402c819085ab68b27c235a87 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3518bec408190ba07643bbf7eb632 completed March 12, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dba5d2488190b23a0358ffc994fb completed March 14, 2026, 10:05 p.m.
Created at: March 12, 2026, 11:15 p.m.