Triple

T7685725
Position Surface form Disambiguated ID Type / Status
Subject Theodor Svedberg E174110 entity
Predicate familyName P18 FINISHED
Object Svedberg E174110 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: Svedberg | Statement: [Theodor Svedberg, familyName, Svedberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Svedberg
Context triple: [Theodor Svedberg, familyName, Svedberg]
  • A. Krogh
    Krogh is a Norwegian surname borne by various notable figures in politics, science, and the arts.
  • B. Theodor Svedberg chosen
    Theodor Svedberg was a Swedish chemist and Nobel laureate renowned for his pioneering work on colloids and the development of the ultracentrifuge.
  • C. Flemming
    Flemming is a surname and given name of Germanic origin, used by various notable individuals across fields such as politics, arts, and science.
  • D. Slichter
    Slichter is a surname most notably associated with American physicist Charles P. Slichter, renowned for his pioneering work in nuclear magnetic resonance.
  • E. Ewald
    Ewald is a masculine given name of Germanic origin, historically borne by various notable figures in German and Central European history.
  • 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_69c6995840408190a19de6c51090f46f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7022118908190a3a93cfda79be0a4 completed March 27, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a25c2a308190908ffdd2f0b7262f completed March 29, 2026, 3:54 a.m.
Created at: March 27, 2026, 4:02 p.m.