Triple
T36481171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O-Ren Ishii |
E898818
|
entity |
| Predicate | hasAnimatedBackstorySegment |
P66473
|
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: [O-Ren Ishii, hasAnimatedBackstorySegment, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAnimatedBackstorySegment Context triple: [O-Ren Ishii, hasAnimatedBackstorySegment, true]
-
A.
hasFlashbackStorylines
chosen
Indicates that the narrative includes scenes or sequences set in earlier time periods that reveal past events related to the main storyline.
-
B.
hasKeyFigureInBackstory
Indicates that an entity’s background narrative prominently features a particular individual who significantly influences or shapes that backstory.
-
C.
hasBackupStories
Indicates that an entity maintains additional, alternative stories or narratives that can be used if the primary ones fail or are unavailable.
-
D.
hasFictionalBackstory
Indicates that an entity is associated with an invented or imaginary narrative background rather than a real-world history.
-
E.
hasTimeInStory
Indicates that a story element, event, or entity occurs or is present during a specific time or time interval within the narrative.
- 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_69f76e5a0e088190a2b6706aeb41723c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd4f39b5008190b83b3227ce22c509 |
completed | May 8, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69fd4df17c548190a4e2a6fea70f7e10 |
completed | May 8, 2026, 2:44 a.m. |
Created at: May 3, 2026, 4:10 p.m.