Triple

T9793410
Position Surface form Disambiguated ID Type / Status
Subject gens Julia E237658 entity
Predicate nomen P744 FINISHED
Object Julius E65491 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: [gens Julia, nomen, Julius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julius
Context triple: [gens Julia, nomen, 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 chosen
    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 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 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.
  • 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.

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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda346945481908c2698a79c578ef5 completed April 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94aceb7108190beeec78587c04161 completed April 10, 2026, 7:09 p.m.
Created at: March 30, 2026, 8:28 p.m.