Triple
T18537425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abdul Ali |
E453000
|
entity |
| Predicate | hasRelationshipWith |
P2830
|
FINISHED |
| Object | Seong Gi-hun |
—
|
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: Seong Gi-hun | Statement: [Abdul Ali, hasRelationshipWith, Seong Gi-hun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seong Gi-hun Context triple: [Abdul Ali, hasRelationshipWith, Seong Gi-hun]
-
A.
Seong Gi-hun
chosen
Seong Gi-hun is the debt-ridden, down-on-his-luck protagonist of the South Korean series "Squid Game," whose moral struggles and desperation drive the story’s deadly competition.
-
B.
Yong-gi
Yong-gi is a Korean given name commonly used for males.
-
C.
Sung-tae
Sung-tae is a Korean masculine given name commonly used in South Korea.
-
D.
Kim Seung-kyum
Kim Seung-kyum is a South Korean four-star general who has served as the country’s top military officer, overseeing overall defense strategy and joint operations.
-
E.
Ryu Jong-hyun
Ryu Jong-hyun is a South Korean figure skating coach best known for having coached Olympic champion Yuna Kim earlier in her career.
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e534030bd88190b25b95305a12a0c1 |
completed | April 19, 2026, 7:58 p.m. |
Created at: April 10, 2026, 11:37 a.m.