Triple

T7381899
Position Surface form Disambiguated ID Type / Status
Subject Manuel Rodríguez Erdoíza E170275 entity
Predicate givenName P17 FINISHED
Object Manuel E450874 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: Manuel | Statement: [Manuel Rodríguez Erdoíza, givenName, Manuel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manuel
Context triple: [Manuel Rodríguez Erdoíza, givenName, Manuel]
  • A. 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.
  • 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 chosen
    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."
  • D. Manuel
    Manuel was the given name of Manuel II, the last King of Portugal who reigned in the early 20th century.
  • E. Francisco
    Francisco is a masculine given name of Spanish and Portuguese origin, equivalent to Francis in English.
  • 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_69c68a5d0ed08190b6d361e68f813330 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1c9a3c48190972126c19aa31dca completed March 27, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c810e879e88190a421409194868587 completed March 28, 2026, 5:33 p.m.
Created at: March 27, 2026, 3:08 p.m.