Triple

T8138002
Position Surface form Disambiguated ID Type / Status
Subject María Corina Chávez E190019 entity
Predicate givenName P17 FINISHED
Object María Corina E190019 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: María Corina | Statement: [María Corina Chávez, givenName, María Corina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: María Corina
Context triple: [María Corina Chávez, givenName, María Corina]
  • A. María Corina Chávez chosen
    María Corina Chávez is a notable individual who shares the Chávez surname and has gained recognition in her own right, though detailed public information about her is limited.
  • B. Mireya Moscoso
    Mireya Moscoso is a Panamanian politician who served as the first female President of Panama from 1999 to 2004.
  • C. Lidia Castro
    Lidia Castro is a member of the Castro family of Cuba, known primarily as a sister of Juanita Castro and thus part of the extended family of revolutionary leader Fidel Castro.
  • D. Sofía Correa
    Sofía Correa is a daughter of former Ecuadorian president Rafael Correa.
  • E. Raquel Murillo
    Raquel Murillo is a central character in the Spanish series "Money Heist," initially a police inspector who later joins the Professor's gang and adopts the alias Lisbon.
  • 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_69ca82bd9900819099477cdc2eb4244f completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4402b35c81909363ffa9ce952ca4 completed March 31, 2026, 3:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbed2abb881908107fdc5a8092aab completed April 1, 2026, 6:44 a.m.
Created at: March 30, 2026, 5:35 p.m.