Triple
T8482277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lee Sedol |
E200548
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | 이세돌 |
E200548
|
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: 이세돌 | Statement: [Lee Sedol, nativeName, 이세돌]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 이세돌 Context triple: [Lee Sedol, nativeName, 이세돌]
-
A.
Lee Sedol
chosen
Lee Sedol is a South Korean professional Go player renowned as one of the strongest players in history and for his landmark 2016 match against DeepMind's AlphaGo.
-
B.
Ke Jie
Ke Jie is a Chinese professional Go player widely regarded as one of the strongest players of his generation.
-
C.
AlphaGo
AlphaGo is an artificial intelligence program developed by DeepMind that became famous for defeating world champion Go players using deep neural networks and reinforcement learning.
-
D.
Garry Kasparov
Garry Kasparov is a Russian chess grandmaster widely regarded as one of the greatest chess players in history and a prominent political activist and author.
-
E.
Yuval Steinitz
Yuval Steinitz is an Israeli politician and member of the Likud party who has held several senior government positions, including serving as Israel’s Minister of Finance.
- 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_69ca831b17988190a1f3f3413d57b820 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe53638c48190b742fc51d1b4442a |
completed | March 31, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4de95e3081908277c65598f3884a |
completed | April 2, 2026, 11:07 a.m. |
Created at: March 30, 2026, 6:12 p.m.