Triple
T17097349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LG Group |
E414882
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Koo In-hwoi |
—
|
NE ONNED1 |
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: Koo In-hwoi | Statement: [LG Group, foundedBy, Koo In-hwoi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koo In-hwoi Context triple: [LG Group, foundedBy, Koo In-hwoi]
-
A.
Koo In-hwoi
chosen
Koo In-hwoi was a South Korean entrepreneur who built one of the country’s leading chaebols, the LG Group, helping pioneer its modern electronics and chemical industries.
-
B.
Jeong Ji-hoon
Jeong Ji-hoon, better known by his stage name Rain, is a South Korean singer, actor, and music producer who gained international fame as a K-pop star and Hallyu icon.
-
C.
Jang Young-hwan
Jang Young-hwan is a South Korean film producer best known for his work on the Academy Award–winning film "Parasite."
-
D.
Ban Woo-hyun
Ban Woo-hyun is one of the children of former UN Secretary-General Ban Ki-moon and his wife Yoo Soon-taek.
-
E.
Hwang Jun-ho
Hwang Jun-ho is a determined police officer in the South Korean series "Squid Game" who infiltrates the deadly competition to uncover the truth behind its operations and find his missing brother.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbfe92988190aa066745ca9791d5 |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0195428c6c8190a11e3f7c8f6796fe |
in_progress | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:35 a.m.