Triple

T14027606
Position Surface form Disambiguated ID Type / Status
Subject Jorge E337501 entity
Predicate hasVariant P455 FINISHED
Object Jorginho E829629 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: Jorginho | Statement: [Jorge, hasVariant, Jorginho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jorginho
Context triple: [Jorge, hasVariant, Jorginho]
  • A. Jorginho chosen
    Jorginho is an Italian-Brazilian central midfielder known for his playmaking, composure in possession, and penalty-taking prowess for clubs like Chelsea and the Italian national team.
  • B. Ramires
    Ramires is a Brazilian former professional footballer best known as a dynamic box-to-box midfielder for Chelsea and the Brazil national team.
  • C. Gervinho
    Gervinho is an Ivorian professional footballer known for his pace and dribbling as a winger, who has played for top European clubs and been a key figure for the Ivory Coast national team.
  • D. Pinellino
    Pinellino is a minor comic character in Giacomo Puccini’s opera *Gianni Schicchi*, one of the schemers involved in the farcical plot over Buoso Donati’s will.
  • E. Fernando Fábregas
    Fernando Fábregas is a central character in the Spanish mystery drama series "High Seas," involved in the intrigue and secrets aboard a luxury transatlantic ocean liner in the 1940s.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2fa830ac81908cb7df7c9e81e42a completed April 14, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc333b7a08190b4f121fef69f7513 completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:20 p.m.