Triple

T5469407
Position Surface form Disambiguated ID Type / Status
Subject Santiago Mariño E122793 entity
Predicate familyName P18 FINISHED
Object Mariño
Mariño is a Spanish-language surname of Galician origin borne by various notable figures in Latin American history and culture.
E521851 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: Mariño | Statement: [Santiago Mariño, familyName, Mariño]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mariño
Context triple: [Santiago Mariño, familyName, Mariño]
  • A. Carvallo
    Carvallo is a surname, likely a variant of Carvajal, found in Spanish- and Portuguese-speaking regions.
  • B. Carballo
    Carballo is a Spanish surname, likely a regional or phonetic variant of the name Carvajal.
  • C. Equirria
    Equirria was an ancient Roman festival dedicated to Mars that centered on horse races and rites connected to warfare and the agricultural year.
  • D. Montenero Sabino
    Montenero Sabino is a small Italian municipality in the Lazio region, known for its historic hilltop setting and traditional rural character.
  • E. Mouton
    Mouton is an academic publishing house known for its influential works in linguistics and related fields.
  • 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: Mariño
Triple: [Santiago Mariño, familyName, Mariño]
Generated description
Mariño is a Spanish-language surname of Galician origin borne by various notable figures in Latin American history and culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mariño
Target entity description: Mariño is a Spanish-language surname of Galician origin borne by various notable figures in Latin American history and culture.
  • A. Carvallo
    Carvallo is a surname, likely a variant of Carvajal, found in Spanish- and Portuguese-speaking regions.
  • B. Carballo
    Carballo is a Spanish surname, likely a regional or phonetic variant of the name Carvajal.
  • C. Equirria
    Equirria was an ancient Roman festival dedicated to Mars that centered on horse races and rites connected to warfare and the agricultural year.
  • D. Montenero Sabino
    Montenero Sabino is a small Italian municipality in the Lazio region, known for its historic hilltop setting and traditional rural character.
  • E. Mouton
    Mouton is an academic publishing house known for its influential works in linguistics and related fields.
  • 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_69bd46459ff48190823377457bcf7128 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd92198ea08190a08357f3756572a2 completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf4893029081908a801c7a44872ebf completed March 22, 2026, 1:40 a.m.
NEDg Description generation batch_69bf48fd9b188190a6b880ff38b1ac67 completed March 22, 2026, 1:42 a.m.
NED2 Entity disambiguation (via description) batch_69bf496a356081909a425c14dd9c5022 completed March 22, 2026, 1:44 a.m.
Created at: March 20, 2026, 2:09 p.m.