Triple

T32042047
Position Surface form Disambiguated ID Type / Status
Subject Princess Merida E818242 entity
Predicate voicedByInEuropeanSpanishDub P178635 FINISHED
Object María Parrado
María Parrado is a Spanish singer and voice actress best known for winning the first season of Spain's "La Voz Kids" and for her musical career that followed.
 E2002339 NE FINISHED

How this triple was built (3 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 Parrado | Statement: [Princess Merida, voicedByInEuropeanSpanishDub, María Parrado]
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 Parrado
Triple: [Princess Merida, voicedByInEuropeanSpanishDub, María Parrado]
Generated description
María Parrado is a Spanish singer and voice actress best known for winning the first season of Spain's "La Voz Kids" and for her musical career that followed.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: voicedByInEuropeanSpanishDub
Context triple: [Princess Merida, voicedByInEuropeanSpanishDub, María Parrado]
  • A. voicedByInAnimeEnglishDub
    Indicates that one entity serves as the English dub voice actor for another entity in an anime production.
  • B. dubbedFor
    Indicates that one media work has been voice-dubbed to create a version suitable for another language, region, or audience.
  • C. spokenBy
    Indicates that a particular utterance, statement, or piece of speech is produced or said by a specific entity.
  • D. characterVoicedBy John Leguizamo
    Indicates that the character is voiced by John Leguizamo.
  • E. languageDubbedIn
    Indicates that the content’s audio has been dubbed into the specified language.
  • F. None of above. chosen

Provenance (7 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_69f348fcfb648190859f6be5e04b7cfe completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f7117e55908190a67105e92bc4830f completed May 3, 2026, 9:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3056e7af788190b93e991fb206e961 completed June 15, 2026, 7:47 p.m.
NEDg Description generation batch_6a31b0156b30819095927096a6205842 completed June 16, 2026, 8:20 p.m.
NED2 Entity disambiguation (via description) batch_6a31b17557e88190b6c66d1f8a37ae13 completed June 16, 2026, 8:26 p.m.
PD Predicate disambiguation batch_69f70f380690819090cc34763ba460ed completed May 3, 2026, 9:02 a.m.
PDg Predicate description generation batch_69f7117cf2188190b29e36fc1e342c60 completed May 3, 2026, 9:12 a.m.
Created at: May 1, 2026, 12:19 a.m.