Triple
T7747300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patrick Dempsey |
E175662
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Enchanted |
E145439
|
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: Enchanted | Statement: [Patrick Dempsey, notableWork, Enchanted]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enchanted Context triple: [Patrick Dempsey, notableWork, Enchanted]
-
A.
Enchanted
chosen
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.
-
B.
Enchanted
"Enchanted" is a popular 1959 doo-wop ballad by The Platters, known for its romantic lyrics and smooth vocal harmonies.
-
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.
Tangled
Tangled is a 2010 Disney animated musical fantasy film that reimagines the Rapunzel fairy tale with a blend of comedy, adventure, and computer-generated animation.
-
E.
Ella Enchanted
Ella Enchanted is a 2004 fantasy romantic comedy film that reimagines the Cinderella story with a magically obedient heroine navigating a whimsical, fairy-tale world.
- 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_69c69960b3588190a53aa590d31d9544 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7038caa64819084f61b42a73c2d8b |
completed | March 27, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be50ac4881909b537f513bed2edd |
completed | March 29, 2026, 5:53 a.m. |
Created at: March 27, 2026, 4:08 p.m.