Triple
T37151892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Han Seoul-Oh |
E920382
|
entity |
| Predicate | fakesDeathIn |
P187206
|
FINISHED |
| Object | The Fast and the Furious: Tokyo Drift |
—
|
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: The Fast and the Furious: Tokyo Drift | Statement: [Han Seoul-Oh, fakesDeathIn, The Fast and the Furious: Tokyo Drift]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fakesDeathIn Context triple: [Han Seoul-Oh, fakesDeathIn, The Fast and the Furious: Tokyo Drift]
-
A.
fakedOwnDeath
Indicates that an entity deliberately staged or pretended their own death to deceive others.
-
B.
reasonForFakedDeath
Indicates the motive or justification behind an entity’s decision to fake or stage their own death.
-
C.
placeOfEvent_fakedDeath
Indicates the location where an event involving a faked or staged death took place.
-
D.
deathBy
Indicates a relationship where one entity’s death is caused by another entity, event, or factor.
-
E.
diesFor
Indicates that one entity sacrifices its life for the sake, benefit, or protection of another entity.
- 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_69f76e9f87c08190b4c8f7fafbd8345a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb344c60f8819090f2e21e1e61d621 |
completed | May 6, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69fb2f642db08190b562725502c74ea6 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb344ba5408190a6fe8face293d88b |
completed | May 6, 2026, 12:30 p.m. |
Created at: May 3, 2026, 4:15 p.m.