Triple
T16564111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mauro Castillo |
E402412
|
entity |
| Predicate | voicedIn |
P43874
|
FINISHED |
| Object | Encanto |
E67970
|
NE FINISHED |
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: Encanto | Statement: [Mauro Castillo, voicedIn, Encanto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Encanto Context triple: [Mauro Castillo, voicedIn, Encanto]
-
A.
Encanto
chosen
Encanto is a 2021 animated musical fantasy film from Walt Disney Animation Studios that follows the magical Madrigal family in Colombia and features songs by Lin-Manuel Miranda.
-
B.
Coco
Coco is the debut studio album by American singer-songwriter Colbie Caillat, featuring her breakout hit "Bubbly" and a laid-back acoustic pop sound.
-
C.
Coco
Coco is a Broadway musical best known for starring Katharine Hepburn in her only stage musical role, portraying fashion designer Coco Chanel.
-
D.
Coco
Coco is a supporting character in the 2006 crime drama film "Waist Deep," involved in the gritty urban underworld that drives the movie’s central conflict.
-
E.
Coco
"Coco" is a notable work by Jason Katz, recognized for its creative storytelling and distinctive artistic style.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3577043048190bc9bcf55069b769f |
completed | April 18, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0075925b18819084c6d476eceea5f5 |
completed | May 10, 2026, 12:09 p.m. |
Created at: April 10, 2026, 5:15 a.m.