Triple

T6193770
Position Surface form Disambiguated ID Type / Status
Subject Alphonso Taft E138459 entity
Predicate givenName P17 FINISHED
Object Alphonso E162427 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: Alphonso | Statement: [Alphonso Taft, givenName, Alphonso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alphonso
Context triple: [Alphonso Taft, givenName, Alphonso]
  • A. Alfons
    Alfons is the given name of Alphonse Mucha, the renowned Czech Art Nouveau painter and decorative artist.
  • B. Amadeo
    Amadeo is a small agricultural municipality in the province of Cavite in the Philippines, known particularly for its coffee production.
  • C. Calixto
    Calixto is a masculine given name of Spanish origin, historically borne by several notable Latin American figures.
  • D. Alfonso chosen
    Alfonso is a masculine given name of Spanish and Italian origin historically borne by numerous kings, nobles, and notable figures across Europe.
  • E. Raimondo
    Raimondo is the given name of Giulio Raimondo Mazzarino, better known as Cardinal Mazarin, the 17th-century Italian-born chief minister of France.
  • 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_69c008ab9b3081908a11b2c744838435 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062431ae88190a1bf6ca91f3dc690 completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f1c162081909cf34e827f1bd7d7 completed March 23, 2026, 4:49 p.m.
Created at: March 22, 2026, 4:19 p.m.