Triple

T20355503
Position Surface form Disambiguated ID Type / Status
Subject Vicente E496634 entity
Predicate derivedFrom P909 FINISHED
Object Vincentius NE NERFINISHED

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: Vincentius | Statement: [Vicente, derivedFrom, Vincentius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vincentius
Context triple: [Vicente, derivedFrom, Vincentius]
  • A. Vincenzo
    Vincenzo is the Italian given name equivalent to Vincent, commonly used in Italy and among Italian-speaking communities.
  • B. Victor of Vita
    Victor of Vita was a 5th-century North African Christian bishop and historian best known for his account of the Vandal persecution of Catholics under the Arian kings.
  • C. Marvinus
    Marvinus is a masculine given name, likely of Latinized form, used as a variant or extended version of the name Marvin.
  • D. Vincent chosen
    Vincent is a masculine given name of Latin origin, derived from "Vincentius," meaning "conquering" or "to conquer."
  • E. Vincent
    Vincent is the mysterious, lion-like protagonist who dwells beneath New York City in the cult fantasy-romance TV series "Beauty and the Beast."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a3f7f48190b37f354574028ca6 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67853f10881908ecde94036804a8a completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:25 a.m.