Triple

T11535492
Position Surface form Disambiguated ID Type / Status
Subject Johann Schreck E273535 entity
Predicate collaboratedWith P435 FINISHED
Object Johannes Kepler E12150 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: Johannes Kepler | Statement: [Johann Schreck, collaboratedWith, Johannes Kepler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johannes Kepler
Context triple: [Johann Schreck, collaboratedWith, Johannes Kepler]
  • A. Johannes Kepler chosen
    Johannes Kepler was a pioneering 17th-century German astronomer and mathematician best known for formulating the three laws of planetary motion that laid crucial groundwork for classical mechanics.
  • B. Képler
    Képler is a given name associated with the individual known as Pepe.
  • C. Abraham Brahe
    Abraham Brahe was a Swedish nobleman of the influential Brahe family and the father of statesman and governor-general Per Brahe the Younger.
  • D. Tycho Brahe
    Tycho Brahe was a Danish nobleman and astronomer whose precise naked-eye observations of the heavens greatly improved astronomical data and paved the way for Kepler’s laws of planetary motion.
  • E. Jørgen Brahe
    Jørgen Brahe was a Danish nobleman and foster father of the astronomer Tycho Brahe, playing a key role in raising and educating him.
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8839b4bb48190b748ec4119f36c11 completed April 10, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6858af0d081909078d5862ec3d469 completed April 20, 2026, 7:59 p.m.
Created at: April 8, 2026, 9:37 p.m.