Triple
T35728093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo! |
E1032670
|
entity |
| Predicate | segmentShakingTokyoDirector |
P184446
|
FINISHED |
| Object | Bong Joon-ho |
—
|
NE NERFINISHED |
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: Bong Joon-ho | Statement: [Tokyo!, segmentShakingTokyoDirector, Bong Joon-ho]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: segmentShakingTokyoDirector Context triple: [Tokyo!, segmentShakingTokyoDirector, Bong Joon-ho]
-
A.
sequenceOnTōkaidō
Indicates that one entity occurs at a specific position or order along the Tōkaidō route or sequence.
-
B.
scenesReshotWith
Indicates that certain scenes from a work were filmed again, typically with changes, using the specified other scenes or production instance.
-
C.
strongestShakingArea
Indicates the area that experiences the most intense level of shaking relative to surrounding regions.
-
D.
movementDirector
Indicates that one entity serves as the movement director (responsible for choreographing or directing movement) for another entity, such as a performance or production.
-
E.
durationOfStrongShaking
Indicates the length of time that intense or strong shaking persists during an event, such as an earthquake.
- 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_69f76e102b5881909e5d63a30a5cecbe |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69f7b0e3917481908a394680d76743c3 |
completed | May 3, 2026, 8:32 p.m. |
Created at: May 3, 2026, 4:05 p.m.