Triple
T18731458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pachinko |
E458043
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Sunja |
—
|
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: Sunja | Statement: [Pachinko, character, Sunja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sunja Context triple: [Pachinko, character, Sunja]
-
A.
Sunja
chosen
Sunja is a resilient Korean woman whose life, marked by sacrifice, love, and survival across generations and countries, forms the emotional core of Min Jin Lee’s novel "Pachinko."
-
B.
Sojin
Sojin is a given name, often used in East Asian cultures, that can refer to various individuals in entertainment, arts, and other fields.
-
C.
Sijjin
Sijjin is an Islamic term referring to a record or register in which the deeds of the wicked are inscribed and a place associated with severe punishment in the Hereafter.
-
D.
Maeng-hee
Maeng-hee is a Korean given name, notably borne by individuals such as businessman Lee Maeng-hee.
-
E.
Hosuni
Hosuni is the female tiger mascot character created as the sibling counterpart to Hodori, the official mascot of the 1988 Seoul Olympic Games.
- 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d7854748190b66c4aaadfd67f29 |
completed | April 20, 2026, 12:04 a.m. |
Created at: April 10, 2026, 11:51 a.m.