Triple
T8765006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stepmother (Rodgers & Hammerstein's Cinderella, 1997) |
E208317
|
entity |
| Predicate | treatmentOfCinderella |
P85256
|
FINISHED |
| Object | mistreats Cinderella |
—
|
LITERAL 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: mistreats Cinderella | Statement: [Stepmother (Rodgers & Hammerstein's Cinderella, 1997), treatmentOfCinderella, mistreats Cinderella]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: treatmentOfCinderella Context triple: [Stepmother (Rodgers & Hammerstein's Cinderella, 1997), treatmentOfCinderella, mistreats Cinderella]
-
A.
godmother
Indicates that one entity serves as a godmother to another, typically holding a special, often ceremonial or mentoring, parental-like role in their life.
-
B.
fictionalStepmother
Indicates a stepmother relationship that exists only within a fictional or narrative context.
-
C.
princessOf
Indicates that one entity holds the royal title or role of princess in relation to another entity, typically a realm, family, or sovereign.
-
D.
mythologicalPrincess
Indicates that the subject is a princess who exists within mythology, legend, or folklore rather than in historical reality.
-
E.
hasHumorousTreatmentOf
Indicates that one entity presents or portrays another entity in a humorous, comedic, or joking manner.
- F. None of above. chosen
Provenance (4 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_69ca835df7e08190ac875664cca8f9ca |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5ee850b88190a0294bcbe4045aa3 |
completed | March 31, 2026, 11:55 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1884bc8190a46e8308db31f7ab |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cfddef48190aee764ee7b25bae9 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:40 p.m.