Triple
T4977378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ojingeo Geim |
E111800
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Han Mi-nyeo |
E124444
|
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: Han Mi-nyeo | Statement: [Ojingeo Geim, mainCharacter, Han Mi-nyeo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Han Mi-nyeo Context triple: [Ojingeo Geim, mainCharacter, Han Mi-nyeo]
-
A.
Han Mi-nyeo
chosen
Han Mi-nyeo is a loud, manipulative, and opportunistic contestant in the South Korean survival drama series "Squid Game," known for her volatile alliances and dramatic personality.
-
B.
Lee Maeng-hee
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.
-
C.
Heo Jeong
Heo Jeong was a South Korean politician who served as prime minister and played a significant role in the country’s early post-war democratic politics.
-
D.
Cha Jeong-in
Cha Jeong-in is a South Korean academic who serves as the president of Pusan National University.
-
E.
Son Mi-na
Son Mi-na is a South Korean athlete best known for delivering the Olympic Oath on behalf of all competitors at the 1988 Seoul Summer Games.
- 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_69bd441adc208190b70a033a0741d01e |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7231448c8190a5d0a5135a9cfdf1 |
completed | March 20, 2026, 4:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be924befc08190a077adca99fb4b86 |
completed | March 21, 2026, 12:42 p.m. |
Created at: March 20, 2026, 1:33 p.m.