Triple

T18193097
Position Surface form Disambiguated ID Type / Status
Subject Brutus XXVI E435591 entity
Predicate hasAuthor P4244 FINISHED
Object Brutus 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: Brutus | Statement: [Brutus XXVI, hasAuthor, Brutus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brutus
Context triple: [Brutus XXVI, hasAuthor, Brutus]
  • A. Brutus
    Brutus was the codename of Roman Czerniawski, a Polish Air Force officer who became a notable Allied double agent during World War II.
  • B. Brutus
    Brutus was a Dutch warship that was captured by the British Royal Navy during the 1797 Battle of Camperdown in the French Revolutionary Wars.
  • C. Brutus chosen
    Brutus was the pseudonymous Anti-Federalist author of influential essays opposing the ratification of the U.S. Constitution and warning against a powerful centralized government.
  • D. Brutus
    Brutus is a small unincorporated community located in Emmet County in the northern part of Michigan, United States.
  • E. Brutus
    Brutus is one of Madame Medusa’s vicious pet crocodiles in Disney’s animated film "The Rescuers."
  • 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e0d12b688190842375dcc5d5537c completed April 19, 2026, 2:04 p.m.
Created at: April 10, 2026, 10:31 a.m.