Triple

T1741064
Position Surface form Disambiguated ID Type / Status
Subject Michael Schwab E38232 entity
Predicate coDefendant P31780 FINISHED
Object George Engel E81380 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: George Engel | Statement: [Michael Schwab, coDefendant, George Engel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Engel
Context triple: [Michael Schwab, coDefendant, George Engel]
  • A. George Engel chosen
    George Engel was a German-American labor activist and anarchist who was executed following the 1886 Haymarket affair in Chicago.
  • B. George Wells
    George Wells was an American screenwriter known for his work on classic Hollywood films, including several MGM musicals and comedies.
  • C. Alfred A. Cohn
    Alfred A. Cohn was an American screenwriter and title writer of the silent and early sound film era, best known for his work on influential films such as The Jazz Singer.
  • D. Otis Harlan
    Otis Harlan was an American actor and comedian best known for his early film and stage work during the silent and early sound eras.
  • E. Sidney Verba
    Sidney Verba was a prominent American political scientist renowned for his pioneering work on political participation, comparative politics, and civic culture.
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abaffd9b68819084f6c4d5e1aace1e completed March 7, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae030371e88190982c822a460d3e47 completed March 8, 2026, 11:15 p.m.
Created at: March 4, 2026, 7:30 p.m.