Triple

T2055030
Position Surface form Disambiguated ID Type / Status
Subject Máximo Gómez E45654 entity
Predicate givenName P17 FINISHED
Object Máximo
Máximo is a masculine given name of Spanish origin, historically associated with notable figures such as Cuban independence leader Máximo Gómez.
 E228761 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: Máximo | Statement: [Máximo Gómez, givenName, Máximo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Máximo
Context triple: [Máximo Gómez, givenName, Máximo]
  • A. El Max
    El Max is a coastal district of Alexandria in northern Egypt, known for its fishing community, beaches, and proximity to the Mediterranean Sea.
  • B. Juan
    Juan Soto is a Dominican professional baseball outfielder widely regarded as one of the best hitters of his generation in Major League Baseball.
  • C. Juan
    Juan is the given name of Juan Sebastián Elcano, the Spanish explorer who completed the first circumnavigation of the Earth.
  • D. Juan
    Juan is a common Spanish given name, equivalent to "John" in English and widely used across the Spanish-speaking world.
  • E. Diego
    Diego is a given name of Spanish origin commonly used in Spanish-speaking countries and beyond.
  • 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: Máximo
Triple: [Máximo Gómez, givenName, Máximo]
Generated description
Máximo is a masculine given name of Spanish origin, historically associated with notable figures such as Cuban independence leader Máximo Gómez.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Máximo
Target entity description: Máximo is a masculine given name of Spanish origin, historically associated with notable figures such as Cuban independence leader Máximo Gómez.
  • A. El Max
    El Max is a coastal district of Alexandria in northern Egypt, known for its fishing community, beaches, and proximity to the Mediterranean Sea.
  • B. Juan
    Juan is the given name of Juan Sebastián Elcano, the Spanish explorer who completed the first circumnavigation of the Earth.
  • C. Juan
    Juan Soto is a Dominican professional baseball outfielder widely regarded as one of the best hitters of his generation in Major League Baseball.
  • D. Juan
    Juan is a common Spanish given name, equivalent to "John" in English and widely used across the Spanish-speaking world.
  • E. Diego
    Diego is a given name of Spanish origin commonly used in Spanish-speaking countries and beyond.
  • 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_69a8891a19508190a12ef1e192308dcb completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9a8518081909ba95a8ef9321f12 completed March 7, 2026, 5:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae200eb09881908bbfe47ebb62f55e completed March 9, 2026, 1:19 a.m.
NEDg Description generation batch_69ae20cb479c8190853d0d954af16887 completed March 9, 2026, 1:22 a.m.
NED2 Entity disambiguation (via description) batch_69ae21614e74819093617a355f0857c8 completed March 9, 2026, 1:24 a.m.
Created at: March 4, 2026, 7:40 p.m.