Triple
T6332901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cruella |
E142423
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Cruella |
E142423
|
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: Cruella | Statement: [Cruella, title, Cruella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cruella Context triple: [Cruella, title, Cruella]
-
A.
Cruella
chosen
Cruella is a 2021 live-action Disney film that serves as a stylish origin story for the iconic 101 Dalmatians villain Cruella de Vil, starring Emma Stone in the title role.
-
B.
The Bad Guys
The Bad Guys is an animated heist comedy film based on Aaron Blabey’s children’s book series, following a group of reformed animal criminals trying to go straight.
-
C.
Mrs. Fox
Mrs. Fox is the clever, supportive, and strong-willed wife of Mr. Fox in Roald Dahl’s story "Fantastic Mr. Fox," known for her resourcefulness and devotion to her family.
-
D.
Mr. Fox
Mr. Fox is the clever, daring, and resourceful fox protagonist of Roald Dahl’s children’s book "Fantastic Mr. Fox," known for outwitting three cruel farmers.
-
E.
Revolting Rhymes
Revolting Rhymes is a darkly comic collection of subversive fairy-tale poems for children written by Roald Dahl and famously adapted into animated films.
- 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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06517a1e88190a0bfcac8a7e3a305 |
completed | March 22, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c60424a5dc8190820970fce13776ac |
completed | March 27, 2026, 4:14 a.m. |
Created at: March 22, 2026, 4:30 p.m.