Triple

T2397629
Position Surface form Disambiguated ID Type / Status
Subject Philippi E47686 entity
Predicate battleParticipants P21502 FINISHED
Object Cassius E197826 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: Cassius | Statement: [Philippi, battleParticipants, Cassius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cassius
Context triple: [Philippi, battleParticipants, Cassius]
  • A. Marcus Junius Brutus
    Marcus Junius Brutus was a Roman senator best known as one of the leading conspirators in the assassination of Julius Caesar in 44 BC.
  • 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. Gaius Cassius Longinus chosen
    Gaius Cassius Longinus was a Roman senator and leading instigator of the conspiracy that assassinated Julius Caesar in 44 BC.
  • D. Mark Antony
    Mark Antony was a prominent Roman general and statesman, ally of Julius Caesar and lover of Cleopatra, whose power struggle with Octavian culminated in his defeat at the Battle of Actium.
  • E. Cinna
    Cinna is a key supporting character in "The Hunger Games" series, best known as Katniss Everdeen’s creative and compassionate stylist who subtly rebels against the Capitol through his designs.
  • 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_69a88a1c450c81909f61abb8b6863885 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abd0d942048190bc5c715faa850632 completed March 7, 2026, 7:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf3d44b48190aa405ee612cdf57c completed March 9, 2026, 12:38 p.m.
Created at: March 4, 2026, 7:57 p.m.