Triple

T3553887
Position Surface form Disambiguated ID Type / Status
Subject Louis Lingg E75173 entity
Predicate coDefendant P31780 FINISHED
Object Michael Schwab E38232 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: Michael Schwab | Statement: [Louis Lingg, coDefendant, Michael Schwab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Schwab
Context triple: [Louis Lingg, coDefendant, Michael Schwab]
  • A. Michael Schwab chosen
    Michael Schwab was a German-American labor activist and anarchist who became one of the convicted Haymarket Affair defendants in 1886.
  • B. 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.
  • C. Carlos Schwabe
    Carlos Schwabe was a Swiss Symbolist painter and illustrator known for his mystical, allegorical works and contributions to late 19th-century book illustration.
  • D. James Cayne
    James Cayne was an American businessman best known for leading the investment bank Bear Stearns during its rapid growth and eventual collapse in the 2008 financial crisis.
  • E. William F. Miller
    William F. Miller was a prominent American physicist, academic leader, and technology executive known for his contributions to innovation management and university–industry collaboration.
  • 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc05549d88190acdebdd542ea1a67 completed March 8, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38beef8b4819090109ab89e9671d6 completed March 13, 2026, 4 a.m.
Created at: March 8, 2026, 3:20 p.m.