Triple

T15846972
Position Surface form Disambiguated ID Type / Status
Subject Francisco da Costa Gomes E384238 entity
Predicate givenName P17 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: [Francisco da Costa Gomes, givenName, Francisco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francisco
Context triple: [Francisco da Costa Gomes, givenName, 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14ca7c8f08190abe21cbb0c390f95 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb59bc1f881908c5ed93039e94a46 completed May 9, 2026, 10:30 p.m.
Created at: April 10, 2026, 4:50 a.m.