Triple
T16852768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koo In-hwoi |
E409714
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | In-hwoi |
E409714
|
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: In-hwoi | Statement: [Koo In-hwoi, givenName, In-hwoi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: In-hwoi Context triple: [Koo In-hwoi, givenName, In-hwoi]
-
A.
In-hwoi
chosen
In-hwoi is the given name of Koo In-hwoi, the South Korean entrepreneur who founded the LG Group conglomerate.
-
B.
Hwa Jai
Hwa Jai is a Muay Thai fighter and recurring character in SNK’s Fatal Fury and The King of Fighters series, known for his drunken fighting style and rivalry with Joe Higashi.
-
C.
Seonghwan
Seonghwan is a locality in South Korea historically noted as the site of the Battle of Seonghwan during the First Sino-Japanese War.
-
D.
Jinwicheon
Jinwicheon is a river flowing through the city of Pyeongtaek in South Korea.
-
E.
Hwaeom
Hwaeom is a major school of East Asian Mahayana Buddhism, rooted in the Avatamsaka (Flower Garland) Sutra and known for its doctrine of the interpenetration and mutual containment of all phenomena.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b37abadc81909d02d329403497d6 |
completed | April 18, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb216fac81909d401c6b9911d1e0 |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:24 a.m.