Triple

T19626902
Position Surface form Disambiguated ID Type / Status
Subject María Elena Moyano E471159 entity
Predicate givenName P17 FINISHED
Object María Elena
María Elena is a Spanish feminine given name commonly used across Spanish-speaking countries.
E1415611 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 Elena | Statement: [María Elena Moyano, givenName, María Elena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: María Elena
Context triple: [María Elena Moyano, givenName, María Elena]
  • A. María Elena
    María Elena is a small Chilean mining town in the Antofagasta Region, historically known as one of the last nitrate (saltpeter) company towns in the world.
  • B. María Elena
    María Elena is a passionate, volatile Spanish artist portrayed by Penélope Cruz in the film "Vicky Cristina Barcelona."
  • C. María Elena Carrión
    María Elena Carrión is a Puerto Rican figure known primarily for her marriage to politician and Governor of Puerto Rico Pedro Pierluisi.
  • D. Luz María
    Luz María is a popular 1990s Colombian telenovela, best known for starring Angie Cepeda in a leading role.
  • E. Marivi Lorido García
    Marivi Lorido García is a film producer best known as the longtime wife of Cuban-American actor Andy García.
  • 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 Elena
Triple: [María Elena Moyano, givenName, María Elena]
Generated description
María Elena is a Spanish feminine given name commonly used across Spanish-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: María Elena
Target entity description: María Elena is a Spanish feminine given name commonly used across Spanish-speaking countries.
  • A. María Elena
    María Elena is a small Chilean mining town in the Antofagasta Region, historically known as one of the last nitrate (saltpeter) company towns in the world.
  • B. María Elena
    María Elena is a passionate, volatile Spanish artist portrayed by Penélope Cruz in the film "Vicky Cristina Barcelona."
  • C. María Elena Carrión
    María Elena Carrión is a Puerto Rican figure known primarily for her marriage to politician and Governor of Puerto Rico Pedro Pierluisi.
  • D. Luz María
    Luz María is a popular 1990s Colombian telenovela, best known for starring Angie Cepeda in a leading role.
  • E. Marivi Lorido García
    Marivi Lorido García is a film producer best known as the longtime wife of Cuban-American actor Andy García.
  • 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640eadcc48190ab5e36ddcde0c328 completed April 20, 2026, 3:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a083c5efa4c8190879fde20322590f5 completed May 16, 2026, 9:43 a.m.
NEDg Description generation batch_6a083cc663d48190883c1d255ca426e9 completed May 16, 2026, 9:45 a.m.
NED2 Entity disambiguation (via description) batch_6a083d57e2bc8190826328935e16f335 completed May 16, 2026, 9:48 a.m.
Created at: April 10, 2026, 1:44 p.m.