Triple
T13813895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snow Flower and the Secret Fan |
E331962
|
entity |
| Predicate | hasAlternateTimeline |
P111585
|
FINISHED |
| Object | contemporary storyline |
—
|
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: contemporary storyline | Statement: [Snow Flower and the Secret Fan, hasAlternateTimeline, contemporary storyline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlternateTimeline Context triple: [Snow Flower and the Secret Fan, hasAlternateTimeline, contemporary storyline]
-
A.
alternateTimelineName
Indicates that one entity is the name or designation used for another entity in an alternate or parallel timeline.
-
B.
alternateTimelineVersionAppearsIn
Indicates that an alternate-timeline version of an entity appears or is present within a specified context, such as a work, scene, or universe.
-
C.
alternateUniverseVersionOf
Indicates that one entity is a counterpart or variant of another entity existing in a different universe or reality.
-
D.
hasAlternateExperience
Indicates that an entity is associated with a different or substitute experience relative to a primary or standard one.
-
E.
hasTemporalParadox
Indicates that a situation, event, or sequence of events involves a contradiction or inconsistency in time, such as conflicting timelines or causality loops.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de027198f8819095da3e714ac241f5 |
completed | April 14, 2026, 9:01 a.m. |
| PD | Predicate disambiguation | batch_69dbc862e9608190bd8a3d883959b7e4 |
completed | April 12, 2026, 4:29 p.m. |
| PDg | Predicate description generation | batch_69dcad0eea9881908f71e1eed9a2446b |
completed | April 13, 2026, 8:45 a.m. |
Created at: April 9, 2026, 10:12 p.m.