Triple

T18015940
Position Surface form Disambiguated ID Type / Status
Subject NumFOCUS E430998 entity
Predicate foundedBy P104 FINISHED
Object William Stein 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: William Stein | Statement: [NumFOCUS, foundedBy, William Stein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Stein
Context triple: [NumFOCUS, foundedBy, William Stein]
  • A. William A. Stein chosen
    William A. Stein is an American mathematician and computer scientist best known as the founder and lead developer of the open-source mathematical software system SageMath.
  • B. Victor S. Miller
    Victor S. Miller is an American mathematician and cryptographer best known for co-inventing elliptic curve cryptography, a foundational technology in modern public-key cryptography.
  • C. Kevin Buzzard
    Kevin Buzzard is a British mathematician known for his work in number theory and for pioneering the use of formal proof verification in mainstream mathematics.
  • D. Ken Ribet
    Ken Ribet is an American mathematician known for his work in number theory, particularly his proof of the epsilon conjecture, which played a crucial role in the eventual proof of Fermat’s Last Theorem.
  • E. Johannes Eisermann
    Johannes Eisermann is a scholar known for his professorship at the European University Viadrina in Frankfurt (Oder), where he has made notable academic contributions.
  • 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b523f588819097389e067dda7f23 completed April 19, 2026, 10:57 a.m.
Created at: April 10, 2026, 10:24 a.m.