Triple

T1527622
Position Surface form Disambiguated ID Type / Status
Subject Auguste Piccard E32370 entity
Predicate givenName P17 FINISHED
Object Auguste E133352 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: Auguste | Statement: [Auguste Piccard, givenName, Auguste]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Auguste
Context triple: [Auguste Piccard, givenName, Auguste]
  • A. Auguste chosen
    Auguste is a masculine French given name historically borne by notable figures such as philosophers, artists, and scientists.
  • B. Augustus
    Augustus was the first Roman emperor, who established the Roman Empire and led a period of relative peace and prosperity known as the Pax Romana.
  • C. Claudiu
    Claudiu is a Romanian given name derived from the ancient Roman name Claudius.
  • 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 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.
  • 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_69a885e9b0ac819093a9806ad0efc82c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90812cb1c819099e7ad48fedcbe94 completed March 5, 2026, 4:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad2953c5308190984d20f62b7303fd completed March 8, 2026, 7:46 a.m.
Created at: March 4, 2026, 7:26 p.m.