Triple
T22123758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feelings |
E546738
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Kim Ji-young |
—
|
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: Kim Ji-young | Statement: [Feelings, hasCastMember, Kim Ji-young]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kim Ji-young Context triple: [Feelings, hasCastMember, Kim Ji-young]
-
A.
Kim Ji-young
chosen
Kim Ji-young is a South Korean actress known for her roles in television dramas and films, including the influential series "Sandglass."
-
B.
Ju-yung
Ju-yung is the given name of Chung Ju-yung, the South Korean entrepreneur who founded the Hyundai Group conglomerate.
-
C.
Jo Sung-hee
Jo Sung-hee is a South Korean film director and screenwriter known for his work in genre-blending films and large-scale science fiction cinema.
-
D.
Cho Hae-jung
Cho Hae-jung is a South Korean actress known for her roles in television dramas and films.
-
E.
Jung Jin-young
Jung Jin-young is a South Korean actor known for his versatile performances in film and television, often portraying complex and emotionally resonant characters.
- 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1298016e081909d00015ca516d9fd |
completed | April 28, 2026, 9:41 p.m. |
Created at: April 16, 2026, 8:31 p.m.