Triple

T32042048
Position Surface form Disambiguated ID Type / Status
Subject Princess Merida E818242 entity
Predicate voicedByInLatinAmericanSpanishDub P178845 FINISHED
Object Diana Santos
Diana Santos is a Latin American Spanish voice actress best known for dubbing the character Princess Merida from Disney-Pixar's "Brave."
 E1994253 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: Diana Santos | Statement: [Princess Merida, voicedByInLatinAmericanSpanishDub, Diana Santos]
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: Diana Santos
Triple: [Princess Merida, voicedByInLatinAmericanSpanishDub, Diana Santos]
Generated description
Diana Santos is a Latin American Spanish voice actress best known for dubbing the character Princess Merida from Disney-Pixar's "Brave."
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: voicedByInLatinAmericanSpanishDub
Context triple: [Princess Merida, voicedByInLatinAmericanSpanishDub, Diana Santos]
  • A. voicedByInEuropeanSpanishDub
    Indicates that one entity serves as the voice actor for another entity specifically in the European Spanish dubbed version of a work.
  • B. voicedByInAnimeEnglishDub
    Indicates that one entity serves as the English dub voice actor for another entity in an anime production.
  • C. characterVoicedBy John Leguizamo
    Indicates that the character is voiced by John Leguizamo.
  • D. spokenBy
    Indicates that a particular utterance, statement, or piece of speech is produced or said by a specific entity.
  • E. dubbedFor
    Indicates that one media work has been voice-dubbed to create a version suitable for another language, region, or audience.
  • 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_69f71422adac8190a5ceb32dcf820833 completed May 3, 2026, 9:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f011366d4819084ab67602a667ab0 completed June 14, 2026, 7:29 p.m.
NEDg Description generation batch_6a2f04e7d7448190aaccfaa1b2f9cea5 completed June 14, 2026, 7:45 p.m.
NED2 Entity disambiguation (via description) batch_6a2f05aba10c81909afc967048decf07 completed June 14, 2026, 7:48 p.m.
PD Predicate disambiguation batch_69f712764d2c819081b64b27e5de4a13 completed May 3, 2026, 9:16 a.m.
PDg Predicate description generation batch_69f71421e8d08190807ccfb15d0f0ddb completed May 3, 2026, 9:23 a.m.
Created at: May 1, 2026, 12:19 a.m.