Triple

T14662462
Position Surface form Disambiguated ID Type / Status
Subject Roman imperial family E344278 entity
Predicate hasRole P161 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: [Roman imperial family, hasRole, Caesar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caesar
Context triple: [Roman imperial family, hasRole, 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. Caesar
    Caesar is a key character in Colson Whitehead’s novel "The Underground Railroad," an enslaved man whose partnership with Cora drives their perilous escape from bondage.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb54ae5ac81908cc69891f280e5f7 completed April 14, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5e4789481909a64622a1d284373 completed May 8, 2026, 12:24 p.m.
Created at: April 10, 2026, 1:27 a.m.