Triple

T5875413
Position Surface form Disambiguated ID Type / Status
Subject Ricky Martin E130613 entity
Predicate notableWork P4 FINISHED
Object María
"María" is a 1995 Latin pop hit by Puerto Rican singer Ricky Martin that became one of his signature international breakthrough songs.
 E559107 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: María | Statement: [Ricky Martin, notableWork, María]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: María
Context triple: [Ricky Martin, notableWork, María]
  • A. María
    María is a key character in Ernest Hemingway's novel "For Whom the Bell Tolls," known as a young Spanish woman and love interest of the protagonist amid the Spanish Civil War.
  • B. María
    "María" is a film featuring actress Taryn Power in a significant role.
  • C. María
    María is a feminine given name of Hebrew origin, widely used in Spanish-speaking countries and associated with numerous historical and religious figures.
  • D. María
    María is the given first name of Josefa Ortiz de Domínguez, a prominent figure in Mexico’s War of Independence.
  • E. Luisa
    Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
  • 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: María
Triple: [Ricky Martin, notableWork, María]
Generated description
"María" is a 1995 Latin pop hit by Puerto Rican singer Ricky Martin that became one of his signature international breakthrough songs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: María
Target entity description: "María" is a 1995 Latin pop hit by Puerto Rican singer Ricky Martin that became one of his signature international breakthrough songs.
  • A. María
    María is a key character in Ernest Hemingway's novel "For Whom the Bell Tolls," known as a young Spanish woman and love interest of the protagonist amid the Spanish Civil War.
  • B. María
    "María" is a film featuring actress Taryn Power in a significant role.
  • C. María
    María is the given first name of Josefa Ortiz de Domínguez, a prominent figure in Mexico’s War of Independence.
  • D. María
    María is a feminine given name of Hebrew origin, widely used in Spanish-speaking countries and associated with numerous historical and religious figures.
  • E. Luisa
    Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
  • 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_69c0085523688190bfd487479ce819e6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035fc86308190851b282456bcd715 completed March 22, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e377e1108190b0820f92eab012c2 completed March 23, 2026, 6:53 a.m.
NEDg Description generation batch_69c0f72625888190ad23927d0962097b completed March 23, 2026, 8:17 a.m.
NED2 Entity disambiguation (via description) batch_69c0f7fb0cac8190b3b0913689c95542 completed March 23, 2026, 8:21 a.m.
Created at: March 22, 2026, 3:57 p.m.