Triple
T14121903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mirabel Madrigal |
E339925
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Mirabel |
E339925
|
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: Mirabel | Statement: [Mirabel Madrigal, givenName, Mirabel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mirabel Context triple: [Mirabel Madrigal, givenName, Mirabel]
-
A.
Mirabel
Mirabel is a town in southwestern Quebec, Canada, known for its proximity to Montreal and its association with the former Montréal–Mirabel International Airport.
-
B.
Mirabel Madrigal
chosen
Mirabel Madrigal is the quirky, big-hearted teenage heroine of Disney’s animated film "Encanto," known for being the only member of her magical family without a supernatural gift.
-
C.
Marzelline
Marzelline is a character in Beethoven's opera "Fidelio," portrayed as the jailer Rocco’s daughter who becomes romantically entangled with the disguised heroine.
-
D.
Imabelle
Imabelle is a central femme fatale figure in Chester Himes's crime novel "A Rage in Harlem," whose beauty and cunning drive much of the story's action and intrigue.
-
E.
Mirabella
Mirabella is a fashion and lifestyle magazine known for its focus on sophisticated style and culture.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de60942a588190beff0058a92f7051 |
completed | April 14, 2026, 3:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7e04184819081633f9cfc0ccab9 |
completed | May 7, 2026, 8:36 p.m. |
Created at: April 9, 2026, 10:22 p.m.