Triple

T6896566
Position Surface form Disambiguated ID Type / Status
Subject Diego Gutiérrez E159384 entity
Predicate givenName P17 FINISHED
Object Diego E15778 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: Diego | Statement: [Diego Gutiérrez, givenName, Diego]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diego
Context triple: [Diego Gutiérrez, givenName, Diego]
  • A. Diego chosen
    Diego is a given name of Spanish origin commonly used in Spanish-speaking countries and beyond.
  • B. Raymundo
    Raymundo is a masculine given name, commonly used in Spanish- and Portuguese-speaking cultures, that is related to the name Ramón.
  • C. Sebastián
    Sebastián is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • D. Jorge
    Jorge is a character portrayed by actor Giancarlo Esposito, known for his nuanced and often intense roles in film and television.
  • E. Jorge
    Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
  • 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_69c6883822e0819091e321526f20ae0a completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d95ae3f88190b7f5d440f90ae9f9 completed March 27, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b8b17c60819083a7ef72cf952b93 completed March 28, 2026, 11:17 a.m.
Created at: March 27, 2026, 2:24 p.m.