Triple

T17140840
Position Surface form Disambiguated ID Type / Status
Subject Silvio E415956 entity
Predicate relatedName P3889 FINISHED
Object Silvius E415957 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: Silvius | Statement: [Silvio, relatedName, Silvius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silvius
Context triple: [Silvio, relatedName, Silvius]
  • A. Silvius chosen
    Silvius is a masculine given name of Latin origin, historically associated with ancient Roman figures and later adapted into various European languages.
  • B. Siricius
    Siricius was a late 4th-century Bishop of Rome recognized as one of the first popes to issue formal decretals that helped shape early canon law.
  • C. Temetrius
    Temetrius is the given first name of NBA star Ja Morant, a prominent American professional basketball player.
  • D. Famedio
    Famedio is a grand memorial chapel and pantheon within Milan’s Monumental Cemetery, dedicated to honoring the city’s most illustrious citizens.
  • E. Fidius
    Fidius is a cult title of the ancient Roman god Semo Sancus, associated with oaths, loyalty, and the sanctity of agreements.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f2d44a508190a3a149c3a64957f5 completed April 18, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014154b9848190ac01602eb01ae710 completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:36 a.m.