Triple

T8330686
Position Surface form Disambiguated ID Type / Status
Subject Crispus E195065 entity
Predicate positionHeld P8 FINISHED
Object Caesar E38669 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: Caesar | Statement: [Crispus, positionHeld, Caesar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caesar
Context triple: [Crispus, positionHeld, Caesar]
  • A. Caesar chosen
    Caesar was the title given to junior co-emperors in the Roman Empire, particularly formalized as the subordinate rank within Diocletian’s Tetrarchic system.
  • B. Caesar
    Caesar is a fictional character portrayed by Karl Urban, likely known from his roles in film or television.
  • C. Caesar
    Caesar is the intelligent, evolved chimpanzee who leads the apes in the modern Planet of the Apes film series.
  • D. Caesar
    Caesar is one of the two canine protagonists in Robert Burns’s poem “The Twa Dogs,” serving as the more privileged dog whose conversations explore social class and human nature.
  • E. Julius Caesar
    Julius Caesar was a Roman general, statesman, and dictator whose military conquests and political reforms paved the way for the end of the Roman Republic and the rise of the Roman Empire.
  • 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_69ca82e87f2c8190bdb71ee29dfc642d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fb995508190b2ca94ad45bf6d24 completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce394f782881908310d7ca1b7dc36c completed April 2, 2026, 9:39 a.m.
Created at: March 30, 2026, 5:56 p.m.