Triple
T11517935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Burgess |
E273079
|
entity |
| Predicate | workedOn |
P3
|
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: [Don Burgess, workedOn, Enchanted]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enchanted Context triple: [Don Burgess, workedOn, 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.
Enchanted
"Enchanted" is a fan-favorite ballad by Taylor Swift, celebrated for its romantic, fairy-tale imagery and emotional storytelling on her album *Speak Now*.
-
D.
Enchanted
Enchanted is an episode of the television series "Friday Night Lights," a drama centered on high school football and small-town life in Texas.
-
E.
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.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d87fcf927081908ef89eff7ad833b0 |
completed | April 10, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e62530a6b08190a8ba3c410e79cf72 |
completed | April 20, 2026, 1:08 p.m. |
Created at: April 8, 2026, 9:36 p.m.