Triple
T14372011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lee Maeng-hee |
E356379
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Lee Maeng-hee |
E356379
|
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: Lee Maeng-hee | Statement: [Lee Maeng-hee, name, Lee Maeng-hee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lee Maeng-hee Context triple: [Lee Maeng-hee, name, Lee Maeng-hee]
-
A.
Lee Maeng-hee
chosen
Lee Maeng-hee was a South Korean businessman best known as the eldest son of Samsung founder Lee Byung-chul and a former executive within the Samsung Group.
-
B.
Cha Jeong-in
Cha Jeong-in is a South Korean academic who serves as the president of Pusan National University.
-
C.
Koo Cha-kyung
Koo Cha-kyung was a South Korean businessman who led and expanded the LG Group as its second chairman, transforming it into a major global conglomerate.
-
D.
Lee In-hee
Lee In-hee is a South Korean businesswoman and heiress known as a prominent member of the Samsung founding family.
-
E.
Jo Yun-ok
Jo Yun-ok is the wife of renowned Hong Kong martial artist, actor, and film director Sammo Hung.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8fb2082c8190b42cc5f2bab4f574 |
completed | April 14, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda907abf88190b86ce65390d9ca40 |
completed | May 8, 2026, 9:12 a.m. |
Created at: April 10, 2026, 1:15 a.m.