Triple
T38112323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The House Where Evil Dwells |
E951688
|
entity |
| Predicate | containsFlashbackTo |
P169512
|
FINISHED |
| Object | 19th century Japan |
—
|
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: 19th century Japan | Statement: [The House Where Evil Dwells, containsFlashbackTo, 19th century Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsFlashbackTo Context triple: [The House Where Evil Dwells, containsFlashbackTo, 19th century Japan]
-
A.
hasFlashbackStorylines
Indicates that the narrative includes scenes or sequences set in earlier time periods that reveal past events related to the main storyline.
-
B.
portrayedInFlashbacks
Indicates that an entity appears or is depicted specifically within flashback scenes of a narrative work.
-
C.
flashbackStructure
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.
-
D.
featuresFlashback
chosen
Indicates that an event, scene, or narrative segment includes a flashback to an earlier time or prior events.
-
E.
hasBackTo
Indicates that one entity is positioned or oriented with its back facing toward another entity.
- 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_69f76f065ed08190bdfb1b6d817f5b39 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a01ed1790148190b08c1dba53de4371 |
completed | May 11, 2026, 2:52 p.m. |
| PD | Predicate disambiguation | batch_6a01e9c20798819085760b377dc7b3fa |
completed | May 11, 2026, 2:37 p.m. |
Created at: May 3, 2026, 4:21 p.m.