Triple

T11156672
Position Surface form Disambiguated ID Type / Status
Subject Lázaro Cárdenas del Río E263927 entity
Predicate honorificName P6819 FINISHED
Object Tata Lázaro
Tata Lázaro is the affectionate honorific nickname of Lázaro Cárdenas del Río, the Mexican president renowned for land reforms and the nationalization of the oil industry.
 E909102 NE FINISHED

How this triple was built (4 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: Tata Lázaro | Statement: [Lázaro Cárdenas del Río, honorificName, Tata Lázaro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tata Lázaro
Context triple: [Lázaro Cárdenas del Río, honorificName, Tata Lázaro]
  • A. Raimundo
    Raimundo is a masculine given name of Spanish and Portuguese origin, related to the name Ramón and ultimately derived from the Germanic name Raymond.
  • B. Elicio
    Elicio is a shepherd and one of the principal pastoral protagonists in Miguel de Cervantes’ early novel "La Galatea."
  • C. Eduardo
    Eduardo is a masculine given name commonly used in Spanish and Portuguese-speaking countries, equivalent to the English name Edward.
  • D. Arsenio
    Arsenio is a masculine given name of Spanish origin, historically borne by several notable figures in Spanish-speaking countries.
  • E. Teobaldo
    Teobaldo is the Italian form of the given name Theobald, historically borne by various European nobles and clerics.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tata Lázaro
Triple: [Lázaro Cárdenas del Río, honorificName, Tata Lázaro]
Generated description
Tata Lázaro is the affectionate honorific nickname of Lázaro Cárdenas del Río, the Mexican president renowned for land reforms and the nationalization of the oil industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tata Lázaro
Target entity description: Tata Lázaro is the affectionate honorific nickname of Lázaro Cárdenas del Río, the Mexican president renowned for land reforms and the nationalization of the oil industry.
  • A. Raimundo
    Raimundo is a masculine given name of Spanish and Portuguese origin, related to the name Ramón and ultimately derived from the Germanic name Raymond.
  • B. Elicio
    Elicio is a shepherd and one of the principal pastoral protagonists in Miguel de Cervantes’ early novel "La Galatea."
  • C. Eduardo
    Eduardo is a masculine given name commonly used in Spanish and Portuguese-speaking countries, equivalent to the English name Edward.
  • D. Arsenio
    Arsenio is a masculine given name of Spanish origin, historically borne by several notable figures in Spanish-speaking countries.
  • E. Teobaldo
    Teobaldo is the Italian form of the given name Theobald, historically borne by various European nobles and clerics.
  • F. None of above. chosen

Provenance (5 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8741cd48190b7cc29c6b6bc54ff completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e46352e0688190924f15bc7d7ede90 completed April 19, 2026, 5:08 a.m.
NEDg Description generation batch_69e46c374ca08190a876ee68dea9b821 completed April 19, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69e4747bc02c81908f0782cf85667f3f completed April 19, 2026, 6:21 a.m.
Created at: April 8, 2026, 9:28 p.m.