Triple

T20009505
Position Surface form Disambiguated ID Type / Status
Subject Margarete Jensen E494549 entity
Predicate spouse P13 FINISHED
Object Hans D. Jensen NE NERFINISHED

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: Hans D. Jensen | Statement: [Margarete Jensen, spouse, Hans D. Jensen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hans D. Jensen
Context triple: [Margarete Jensen, spouse, Hans D. Jensen]
  • A. Hans D. Jensen chosen
    Hans D. Jensen was a German nuclear physicist and Nobel laureate best known for co-developing the nuclear shell model of the atomic nucleus.
  • B. Benjamin Roy Mottelson
    Benjamin Roy Mottelson was a Danish-American nuclear physicist who shared the 1975 Nobel Prize in Physics for his work on the structure of the atomic nucleus.
  • C. Erich Bethe
    Erich Bethe was a German classical philologist known for his scholarly work on ancient Greek literature and mythology.
  • D. Kai Siegbahn
    Kai Siegbahn was a Swedish physicist and Nobel laureate renowned for his pioneering work in high-resolution electron spectroscopy.
  • E. Wolfgang Paul
    Wolfgang Paul was a German physicist and Nobel laureate best known for developing the Paul trap for confining charged particles.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e661a81c5881909692fcaaf59a57c9 completed April 20, 2026, 5:26 p.m.
Created at: April 11, 2026, 3:33 p.m.