Triple

T7421505
Position Surface form Disambiguated ID Type / Status
Subject Dan E171256 entity
Predicate hasRelationshipWith P2830 FINISHED
Object Julius unclear NED1 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: [Dan, hasRelationshipWith, Julius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julius
Context triple: [Dan, hasRelationshipWith, 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 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.
  • C. 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.
  • D. Julius
    Julius is a masculine given name of ancient Roman origin, derived from the family name Julius and historically associated with figures such as Julius Caesar.
  • E. Julius
    Julius is the given first name of the German mathematician Richard Dedekind, known for his foundational work in abstract algebra and number theory.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69c68a625d048190af70eb8b63bec5a0 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2ebc520819087cfc2eb9dda0e17 completed March 27, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81ef7fc808190a564ab4d9d97ab37 completed March 28, 2026, 6:33 p.m.
Created at: March 27, 2026, 3:11 p.m.