Triple

T6906451
Position Surface form Disambiguated ID Type / Status
Subject Manne Siegbahn E159824 entity
Predicate familyName P18 FINISHED
Object Siegbahn E159824 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: Siegbahn | Statement: [Manne Siegbahn, familyName, Siegbahn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siegbahn
Context triple: [Manne Siegbahn, familyName, Siegbahn]
  • A. Manne Siegbahn chosen
    Manne Siegbahn was a Swedish physicist and Nobel laureate renowned for his pioneering work in X-ray spectroscopy and atomic physics.
  • B. Barkla
    Barkla is a surname most notably associated with Charles Glover Barkla, the British physicist and Nobel laureate recognized for his work on X-ray spectroscopy.
  • C. Rudolf Mössbauer
    Rudolf Mössbauer was a German physicist best known for discovering the Mössbauer effect, which earned him the 1961 Nobel Prize in Physics.
  • D. Geissler
    Geissler is a character in Knut Hamsun’s novel "Growth of the Soil," serving as a former land surveyor whose shrewdness and intermittent interventions significantly influence the fate of the rural community.
  • E. Johannes Stark
    Johannes Stark was a German physicist and Nobel laureate known for discovering the Stark effect, the splitting of spectral lines in electric fields.
  • 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_69c68839ccb88190b4aa5cc1aca3448f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d98c3ab08190a1830c45578056ac completed March 27, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748fc81948190aa4ba339e5a9ec6d completed March 28, 2026, 3:20 a.m.
Created at: March 27, 2026, 2:25 p.m.