Triple
T16360257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Disenchanted |
E397290
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | The Disenchanted |
E397290
|
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: The Disenchanted | Statement: [The Disenchanted, title, The Disenchanted]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Disenchanted Context triple: [The Disenchanted, title, The Disenchanted]
-
A.
The Disenchanted
chosen
The Disenchanted is a Broadway play, adapted from Budd Schulberg’s novel, best known for its acclaimed production starring Jason Robards as a disillusioned writer.
-
B.
Disenchantment
Disenchantment is an animated fantasy sitcom created by Matt Groening that follows the misadventures of a hard-drinking princess, her elf companion, and a personal demon in the medieval kingdom of Dreamland.
-
C.
Disenchanted
Disenchanted is a musical fantasy comedy film that serves as the sequel to Disney’s Enchanted, continuing the story of Giselle in a suburban happily-ever-after gone wrong.
-
D.
Encantado
Encantado is a municipality in the Vale do Taquari region of the state of Rio Grande do Sul in southern Brazil.
-
E.
Enchanted
Enchanted is a 2007 Disney live-action/animated musical fantasy film that playfully subverts classic fairy-tale tropes as an animated princess is transported into modern-day New York City.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2fad241848190a9f32c7b050f20a5 |
completed | April 18, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c50763881908b115953961efef9 |
completed | May 10, 2026, 8:05 a.m. |
Created at: April 10, 2026, 5:08 a.m.