Triple

T1687885
Position Surface form Disambiguated ID Type / Status
Subject Emilio Azcárraga Jean E36484 entity
Predicate givenName P17 FINISHED
Object Emilio E132829 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: Emilio | Statement: [Emilio Azcárraga Jean, givenName, Emilio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emilio
Context triple: [Emilio Azcárraga Jean, givenName, Emilio]
  • A. Emilio chosen
    Emilio is a masculine given name of Spanish and Italian origin, borne by various notable figures including military leaders, artists, and politicians.
  • B. Eugenio
    Eugenio is a masculine given name of Greek origin, commonly used in Spanish- and Italian-speaking countries.
  • C. Ernesto
    Ernesto is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • D. Roberto
    Roberto is a masculine given name commonly used in Romance-language countries, equivalent to the English name Robert.
  • E. Enrico
    Enrico is the given name of Enrico Fermi, the renowned Italian-American physicist who helped develop the first nuclear reactor and made foundational contributions to quantum theory and nuclear physics.
  • 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_69a886151508819084fa7f1ce6e05577 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa6294f5ac819089cf5c2530ec71a0 completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae26e9748081909532426be2f198d1 completed March 9, 2026, 1:48 a.m.
Created at: March 4, 2026, 7:29 p.m.