Triple

T12302170
Position Surface form Disambiguated ID Type / Status
Subject Francis E293255 entity
Predicate hasVariant P455 FINISHED
Object Francisco E62786 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: Francisco | Statement: [Francis, hasVariant, Francisco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francisco
Context triple: [Francis, hasVariant, Francisco]
  • A. Francisco chosen
    Francisco is a masculine given name of Spanish and Portuguese origin, equivalent to Francis in English.
  • B. Manuel
    Manuel is one of the twin brothers and central tragic figures in Thornton Wilder’s novel "The Bridge of San Luis Rey," whose life and death help explore themes of love, fate, and divine purpose.
  • C. Manuel
    Manuel is the hapless, linguistically challenged Spanish waiter from the British sitcom "Fawlty Towers," known for his comedic misunderstandings and clashes with Basil Fawlty.
  • D. Manuel
    Manuel was the given name of Manuel II, the last King of Portugal who reigned in the early 20th century.
  • E. Manuel
    Manuel is a masculine given name of Hebrew origin, commonly used in Spanish- and Portuguese-speaking countries and derived from "Emmanuel," meaning "God is with us."
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93edb59908190bcef9d0cdc11081f completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6685205608190b504ab6e7c73ee51 completed May 2, 2026, 9:10 p.m.
Created at: April 8, 2026, 9:53 p.m.