Triple

T18303853
Position Surface form Disambiguated ID Type / Status
Subject Verein für Cultur und Wissenschaft der Juden E438431 entity
Predicate hasMember P10 FINISHED
Object Michael Beer 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: Michael Beer | Statement: [Verein für Cultur und Wissenschaft der Juden, hasMember, Michael Beer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Beer
Context triple: [Verein für Cultur und Wissenschaft der Juden, hasMember, Michael Beer]
  • A. Michael Beer chosen
    Michael Beer was a 19th-century German Jewish poet and dramatist known for his socially engaged plays and as the younger brother of composer Giacomo Meyerbeer.
  • B. Michael Bentt
    Michael Bentt is a former British-American professional heavyweight boxer who briefly held the WBO world title before becoming an actor and boxing consultant in film and television.
  • C. Mike Beedle
    Mike Beedle was a software engineer, author, and early proponent of agile and Scrum methodologies who helped popularize agile software development practices worldwide.
  • D. Michael Beckmann
    Michael Beckmann is a composer and musician known for creating film scores, including the soundtrack for the romantic comedy "Love, Rosie."
  • E. Michael Begler
    Michael Begler is an American television writer and producer best known for co-creating the period medical drama series "The Knick."
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5018176d481909536f50689f878d2 completed April 19, 2026, 4:23 p.m.
Created at: April 10, 2026, 10:35 a.m.