Triple
T32042047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Merida |
E818242
|
entity |
| Predicate | voicedByInEuropeanSpanishDub |
P178635
|
FINISHED |
| Object | María Parrado |
—
|
NE NERFINISHED |
How this triple was built (2 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]
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 (4 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. |
| 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.