Triple
T20387276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Columbus (2017 film) |
E497990
|
entity |
| Predicate | characterPlayedBy |
P1507
|
FINISHED |
| Object | Jin – John Cho |
—
|
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: Jin – John Cho | Statement: [Columbus (2017 film), characterPlayedBy, Jin – John Cho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jin – John Cho Context triple: [Columbus (2017 film), characterPlayedBy, Jin – John Cho]
-
A.
Jin Lee
Jin Lee is the gentle, supportive father of protagonist Meilin "Mei" Lee in Pixar's animated film "Turning Red."
-
B.
Choi
Choi is a Korean surname shared by many notable individuals across fields such as literature, entertainment, and academia.
-
C.
Brandon Choi
Brandon Choi is an American comic book writer best known for co-creating and scripting several influential 1990s titles at WildStorm alongside artist Jim Lee.
-
D.
Jin
Jin is the standard abbreviation used to refer to Shanxi Province in China.
-
E.
Jin
chosen
Jin is a common Korean given name used for people of any gender, often meaning "truth," "treasure," or "precious" depending on the hanja used.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790c935881908f901d058e6a83a9 |
completed | April 20, 2026, 7:05 p.m. |
Created at: April 16, 2026, 11:28 a.m.