Triple
T13755357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narrator (Disney's "Cinderella") |
E330460
|
entity |
| Predicate | temporalSettingOfNarration |
P11197
|
FINISHED |
| Object | retelling of events in the past |
—
|
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: retelling of events in the past | Statement: [Narrator (Disney's "Cinderella"), temporalSettingOfNarration, retelling of events in the past]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: temporalSettingOfNarration Context triple: [Narrator (Disney's "Cinderella"), temporalSettingOfNarration, retelling of events in the past]
-
A.
timeOfNarrative
chosen
Indicates the specific time or period during which the events of a narrative are set or unfold.
-
B.
settingOfNarration
Indicates the place, time, or context in which a narrated event or story takes place.
-
C.
narrativeSettingOfWork
Indicates that a particular place, time, or context serves as the narrative setting in which a work’s story or events occur.
-
D.
narrativeFrame
Indicates the overarching narrative context or perspective within which events, actions, or relationships are presented or interpreted.
-
E.
narrativeMoment
Indicates the specific point or phase within a narrative at which an event, action, or relationship occurs.
- F. None of above.
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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02179c948190a652cc8c586e418f |
completed | April 14, 2026, 9 a.m. |
| PD | Predicate disambiguation | batch_69dbbe950b148190ba0df8a749269ec6 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 10:09 p.m.