Triple
T17984215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jessy Schram |
E430183
|
entity |
| Predicate | hasNotableRole |
P161
|
FINISHED |
| Object | Cinderella / Ashley Boyd in Once Upon a Time |
—
|
NE NERFINISHED |
How this triple was built (3 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: Cinderella / Ashley Boyd in Once Upon a Time | Statement: [Jessy Schram, hasNotableRole, Cinderella / Ashley Boyd in Once Upon a Time]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cinderella / Ashley Boyd in Once Upon a Time Context triple: [Jessy Schram, hasNotableRole, Cinderella / Ashley Boyd in Once Upon a Time]
-
A.
Emma Swan
Emma Swan is the tough, skeptical bail bondsperson who discovers she is the prophesied Savior and daughter of Snow White and Prince Charming in the TV series "Once Upon a Time."
-
B.
Princess Aurora
Princess Aurora is the kind-hearted, golden-haired princess from Disney’s Sleeping Beauty, known for her enchanted slumber and her central role in the reimagined Maleficent films.
-
C.
Cinderella’s friend
Gus is the chubby, good-natured mouse who serves as one of Cinderella’s closest animal companions in Disney’s Cinderella.
-
D.
Cinderella: From Fabletown with Love
"Cinderella: From Fabletown with Love" is a comic book spin-off series from the Fables universe that follows Cinderella in espionage-style adventures blending fairy-tale characters with spy fiction.
-
E.
Lilac Fairy
The Lilac Fairy is a benevolent and powerful fairy in Tchaikovsky’s ballet "The Sleeping Beauty," who protects Princess Aurora and ultimately guides her to a happy awakening.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cinderella / Ashley Boyd in Once Upon a Time Target entity description: Cinderella / Ashley Boyd in "Once Upon a Time" is a reimagined version of the classic fairy-tale heroine, portrayed as a modern young woman whose intertwined fairy-tale and real-world identities explore themes of destiny, resilience, and second chances.
-
A.
Emma Swan
Emma Swan is the tough, skeptical bail bondsperson who discovers she is the prophesied Savior and daughter of Snow White and Prince Charming in the TV series "Once Upon a Time."
-
B.
Princess Aurora
Princess Aurora is the kind-hearted, golden-haired princess from Disney’s Sleeping Beauty, known for her enchanted slumber and her central role in the reimagined Maleficent films.
-
C.
Cinderella’s friend
Gus is the chubby, good-natured mouse who serves as one of Cinderella’s closest animal companions in Disney’s Cinderella.
-
D.
Cinderella: From Fabletown with Love
"Cinderella: From Fabletown with Love" is a comic book spin-off series from the Fables universe that follows Cinderella in espionage-style adventures blending fairy-tale characters with spy fiction.
-
E.
Lilac Fairy
The Lilac Fairy is a benevolent and powerful fairy in Tchaikovsky’s ballet "The Sleeping Beauty," who protects Princess Aurora and ultimately guides her to a happy awakening.
- F. None of above. chosen
Provenance (2 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b2992fe481908c0d2757b4de5bad |
completed | April 19, 2026, 10:46 a.m. |
Created at: April 10, 2026, 10:23 a.m.