Triple

T6490179
Position Surface form Disambiguated ID Type / Status
Subject Francisco Navarro E148015 entity
Predicate hasGivenName 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 Navarro, hasGivenName, Francisco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francisco
Context triple: [Francisco Navarro, hasGivenName, Francisco]
  • A. Francisco chosen
    Francisco is a masculine given name of Spanish and Portuguese origin, equivalent to Francis in English.
  • B. 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.
  • C. Manuel
    Manuel was the given name of Manuel II, the last King of Portugal who reigned in the early 20th century.
  • D. 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."
  • E. Manuel
    Manuel is the given name of Manny Ramirez, the former Major League Baseball star known for his powerful hitting and tenure with the Boston Red Sox.
  • 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_69c009088f3081909cd467b05919de30 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a9926fc81909db0f390e385e97d completed March 22, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c674074df08190a32f7014b2df0120 completed March 27, 2026, 12:11 p.m.
Created at: March 22, 2026, 4:52 p.m.