Triple

T19134903
Position Surface form Disambiguated ID Type / Status
Subject frozen lake of Cocytus E468409 entity
Predicate hasNotableSinner P134561 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: [frozen lake of Cocytus, hasNotableSinner, Brutus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brutus
Context triple: [frozen lake of Cocytus, hasNotableSinner, Brutus]
  • A. Brutus
    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.
  • B. Brutus
    Brutus is one of Madame Medusa’s vicious pet crocodiles in Disney’s animated film "The Rescuers."
  • C. Brutus
    Brutus was the codename of Roman Czerniawski, a Polish Air Force officer who became a notable Allied double agent during World War II.
  • D. Brutus chosen
    Brutus is a key figure in Roman history and literature, often depicted as a symbol of republican virtue and the struggle against tyranny.
  • E. 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.
  • 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_69d8dd0796a48190b34ce4cd9d3f3be5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3ec4c848190af450bf5bf8db5e7 completed April 20, 2026, 8:29 a.m.
Created at: April 10, 2026, 12:05 p.m.