Triple
T35439841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The World of Kanako |
E1024308
|
entity |
| Predicate | hasFlashbackStructure |
P165486
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The World of Kanako, hasFlashbackStructure, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFlashbackStructure Context triple: [The World of Kanako, hasFlashbackStructure, true]
-
A.
flashbackStructure
chosen
Indicates a narrative relationship where events are presented out of chronological order by returning to earlier moments in time (flashbacks) to inform or reframe the current storyline.
-
B.
hasStructureHistory
Indicates that there exists a record or account detailing the past states, changes, or development of a structure over time.
-
C.
hasFlashbackStorylines
Indicates that the narrative includes scenes or sequences set in earlier time periods that reveal past events related to the main storyline.
-
D.
hasLegacyAt
Indicates that an entity has left a lasting impact, influence, or heritage associated with a particular place or context.
-
E.
hasLegacy
Indicates that an entity leaves behind a lasting impact, influence, or inheritance that continues to exist or be recognized over time.
- 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_69f76df8089481909f0018266ee881b7 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79da9f80c8190b0afd8509f28747b |
completed | May 3, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69f79617d40481909ba372f94209c08b |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:04 p.m.