Triple

T6754385
Position Surface form Disambiguated ID Type / Status
Subject Julius Adams E154416 entity
Predicate givenName P17 FINISHED
Object Julius E398739 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: Julius | Statement: [Julius Adams, givenName, Julius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julius
Context triple: [Julius Adams, givenName, Julius]
  • A. Julius
    Julius is the first given name of J. Robert Oppenheimer, the American theoretical physicist known as the "father of the atomic bomb."
  • B. Julius
    Julius is the family name (nomen) of the ancient Roman Julian clan, most famously borne by figures such as Gaius Julius Caesar and later adopted by emperors like Tiberius as part of their imperial identity.
  • C. Julius
    Julius is the main character of Cory Doctorow's science fiction novel "Down and Out in the Magic Kingdom," navigating a post-scarcity future society centered around a radically transformed Disney World.
  • D. Julius
    Julius is the birth name of American actor John Garfield, a prominent film star of the 1930s and 1940s known for his intense, naturalistic performances.
  • E. Julius chosen
    Julius is a given name most notably borne by Julius Nyerere, the first president and key founding leader of independent Tanzania.
  • 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_69c6880fd5808190be684854081e27dd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1f465388190858207ca4c48f18d completed March 27, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723c3eb4881909c9c8d1258f461d9 completed March 28, 2026, 12:41 a.m.
Created at: March 27, 2026, 2:11 p.m.