Triple
T33702516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minho |
E863494
|
entity |
| Predicate | nationalityInFilmCanon |
P141471
|
FINISHED |
| Object | Korean-American (implied via casting) |
—
|
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: Korean-American (implied via casting) | Statement: [Minho, nationalityInFilmCanon, Korean-American (implied via casting)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalityInFilmCanon Context triple: [Minho, nationalityInFilmCanon, Korean-American (implied via casting)]
-
A.
nationalityInAdaptation
chosen
Indicates that an entity’s nationality, as portrayed in an adaptation, is specified or differs from its original source.
-
B.
hasCinematographerNationality
Indicates that a cinematographer is associated with a specific nationality.
-
C.
nationalCinema
Indicates that a film or cinematic work is associated with, produced by, or representative of a particular nation’s cinema.
-
D.
hasDirectorNationality
Indicates that the nationality of a director is associated with a given entity (such as a film, organization, or work).
-
E.
nationalityOfActor
Indicates that a specified nationality is associated with, or belongs to, a particular actor.
- 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_69f3498723a08190ac034339cc78eade |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd474b7e788190a9bb9b542d878f60 |
completed | May 8, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69fd46d8b2f0819099d92d72c902f60e |
completed | May 8, 2026, 2:13 a.m. |
Created at: May 1, 2026, 1:43 a.m.