Triple
T4051312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koo In-hwoi |
E84591
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | LG Chem |
E409707
|
NE 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: LG Chem | Statement: [Koo In-hwoi, associatedWith, LG Chem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LG Chem Context triple: [Koo In-hwoi, associatedWith, LG Chem]
-
A.
Hyundai Mobis
Hyundai Mobis is a major South Korean automotive parts and technology company that serves as the primary components and module supplier for the Hyundai Motor Group.
-
B.
SK Energy
SK Energy is a major South Korean petroleum and energy company and a core subsidiary of the SK Group conglomerate.
-
C.
LG Corporation
LG Corporation is a major South Korean multinational conglomerate with diversified businesses spanning electronics, chemicals, and telecommunications.
-
D.
Kumho Asiana Group
Kumho Asiana Group is a South Korean conglomerate best known for its transportation and logistics businesses, including ownership of Asiana Airlines.
-
E.
LG Energy Solution
chosen
LG Energy Solution is a South Korean company specializing in the development and manufacture of lithium-ion batteries for electric vehicles, energy storage systems, and consumer electronics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69aed933bec881909edfa28ebb69c634 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb8539148190990468c1429be9dd |
completed | March 9, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b501c008190ac115240328c6fc9 |
completed | March 14, 2026, 2:06 p.m. |
Created at: March 9, 2026, 3:37 p.m.