Triple

T2947228
Position Surface form Disambiguated ID Type / Status
Subject Niceto Alcalá-Zamora E79531 entity
Predicate givenName P17 FINISHED
Object Niceto
Niceto is the given name of Niceto Alcalá-Zamora, the first President of the Second Spanish Republic.
 E314460 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: Niceto | Statement: [Niceto Alcalá-Zamora, givenName, Niceto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Niceto
Context triple: [Niceto Alcalá-Zamora, givenName, Niceto]
  • A. Fulgencio
    Fulgencio is a Spanish given name most notably borne by Fulgencio Batista, the former Cuban military leader and president.
  • B. Manuel
    Manuel is the given name of Manny Ramirez, the former Major League Baseball star known for his powerful hitting and tenure with the Boston Red Sox.
  • C. José María
    José María is the given name of José María Morelos y Pavón, a key leader and hero of the Mexican War of Independence.
  • D. Leopoldo
    Leopoldo is a masculine given name of Spanish and Italian origin, commonly used in Latin American and European countries.
  • E. Enrique
    Enrique is a Spanish given name equivalent to the English name Henry.
  • 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: Niceto
Triple: [Niceto Alcalá-Zamora, givenName, Niceto]
Generated description
Niceto is the given name of Niceto Alcalá-Zamora, the first President of the Second Spanish Republic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Niceto
Target entity description: Niceto is the given name of Niceto Alcalá-Zamora, the first President of the Second Spanish Republic.
  • A. Fulgencio
    Fulgencio is a Spanish given name most notably borne by Fulgencio Batista, the former Cuban military leader and president.
  • B. Manuel
    Manuel is the given name of Manny Ramirez, the former Major League Baseball star known for his powerful hitting and tenure with the Boston Red Sox.
  • C. José María
    José María is the given name of José María Morelos y Pavón, a key leader and hero of the Mexican War of Independence.
  • D. Leopoldo
    Leopoldo is a masculine given name of Spanish and Italian origin, commonly used in Latin American and European countries.
  • E. Enrique
    Enrique is a Spanish given name equivalent to the English name Henry.
  • 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98b5916c8190b1163bf0b7fa136a completed March 8, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc79f6d081908d3bbd52439f4d31 completed March 11, 2026, 5:24 a.m.
NEDg Description generation batch_69b0fd07b82881908d52ab2db2f2e54c completed March 11, 2026, 5:26 a.m.
NED2 Entity disambiguation (via description) batch_69b0fdba0fd88190a2e760f1770e846c completed March 11, 2026, 5:29 a.m.
Created at: March 8, 2026, 2:57 p.m.