Triple

T19758351
Position Surface form Disambiguated ID Type / Status
Subject John C. Schwab E474560 entity
Predicate name P16 FINISHED
Object John C. Schwab 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: John C. Schwab | Statement: [John C. Schwab, name, John C. Schwab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John C. Schwab
Context triple: [John C. Schwab, name, John C. Schwab]
  • A. John C. Schwab chosen
    John C. Schwab was an American economist and librarian best known for serving as the librarian of Yale University in the late 19th and early 20th centuries.
  • B. Martin Schwab
    Martin Schwab is a German actor known for his extensive work in theater, film, and television.
  • C. Charles R. Schwab
    Charles R. Schwab is an American investor and businessman best known as the founder of the Charles Schwab Corporation, a pioneering discount brokerage firm.
  • D. Michael Schwab
    Michael Schwab was a German-American labor activist and anarchist who became one of the convicted Haymarket Affair defendants in 1886.
  • E. Charles M. Schwab
    Charles M. Schwab was a prominent American steel magnate and businessman who led Bethlehem Steel to become one of the largest steel producers in the world in the early 20th century.
  • 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6531d711c8190996fcf967c39c523 completed April 20, 2026, 4:23 p.m.
Created at: April 10, 2026, 1:48 p.m.