Triple

T3236752
Position Surface form Disambiguated ID Type / Status
Subject Lázaro You Heung-sik E67872 entity
Predicate baptismalName P26692 FINISHED
Object Lázaro
Lázaro is the baptismal name of You Heung-sik, a South Korean cardinal of the Catholic Church and Prefect of the Dicastery for the Clergy.
 E340282 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: Lázaro | Statement: [Lázaro You Heung-sik, baptismalName, Lázaro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lázaro
Context triple: [Lázaro You Heung-sik, baptismalName, Lázaro]
  • A. Julián
    Julián is a given name of Latin origin, commonly used in Spanish-speaking countries as a variant of Julian.
  • B. Ignacio
    Ignacio is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • C. Vicente
    Vicente is a given name, common in Spanish- and Portuguese-speaking countries, that corresponds to the English name Vincent.
  • D. Timoteo
    Timoteo is a masculine given name, commonly used in Romance-language countries, derived from the biblical name Timothy.
  • E. Alejo
    Alejo is a Spanish given name commonly used as a short form of Alejandro.
  • 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: Lázaro
Triple: [Lázaro You Heung-sik, baptismalName, Lázaro]
Generated description
Lázaro is the baptismal name of You Heung-sik, a South Korean cardinal of the Catholic Church and Prefect of the Dicastery for the Clergy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lázaro
Target entity description: Lázaro is the baptismal name of You Heung-sik, a South Korean cardinal of the Catholic Church and Prefect of the Dicastery for the Clergy.
  • A. Julián
    Julián is a given name of Latin origin, commonly used in Spanish-speaking countries as a variant of Julian.
  • B. Ignacio
    Ignacio is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • C. Vicente
    Vicente is a given name, common in Spanish- and Portuguese-speaking countries, that corresponds to the English name Vincent.
  • D. Timoteo
    Timoteo is a masculine given name, commonly used in Romance-language countries, derived from the biblical name Timothy.
  • E. Alejo
    Alejo is a Spanish given name commonly used as a short form of Alejandro.
  • 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaef29bf48190a9aa3a39f0138428 completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b277459d1081909766934ce6a56091 completed March 12, 2026, 8:20 a.m.
NEDg Description generation batch_69b2780e41e0819080ddb26668f32838 completed March 12, 2026, 8:23 a.m.
NED2 Entity disambiguation (via description) batch_69b27bd238a48190b9d13ee8a8bc955d completed March 12, 2026, 8:39 a.m.
Created at: March 8, 2026, 3:08 p.m.