Triple
T14382427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Choi "HuHi" Jae-hyun |
E356635
|
entity |
| Predicate | inGameName |
P113836
|
FINISHED |
| Object |
HuHi
HuHi is a South Korean professional League of Legends player known primarily for his role as a mid laner in the North American competitive scene.
|
E1094724
|
NE FINISHED |
How this triple was built (4 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: HuHi | Statement: [Choi "HuHi" Jae-hyun, inGameName, HuHi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HuHi Context triple: [Choi "HuHi" Jae-hyun, inGameName, HuHi]
-
A.
Hiwis
Hiwis were auxiliary forces, often recruited from Soviet prisoners of war and local collaborators, who assisted Nazi Germany in carrying out tasks such as guarding and operating concentration and extermination camps during World War II.
-
B.
Hiw
Hiw is an Oceanic language spoken on Hiw Island in northern Vanuatu, known for its small speaker population and distinctive phonological features.
-
C.
Hix
Hix is a small town in the historical region of Cerdanya in the eastern Pyrenees, within present-day France.
-
D.
Hiji
Hiji is a coastal town in Japan known for its location in Ōita Prefecture on the island of Kyushu.
-
E.
HIG
HIG is the stock ticker symbol for The Hartford Financial Services Group, a major U.S.-based insurance and investment company.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: HuHi Triple: [Choi "HuHi" Jae-hyun, inGameName, HuHi]
Generated description
HuHi is a South Korean professional League of Legends player known primarily for his role as a mid laner in the North American competitive scene.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HuHi Target entity description: HuHi is a South Korean professional League of Legends player known primarily for his role as a mid laner in the North American competitive scene.
-
A.
Hiwis
Hiwis were auxiliary forces, often recruited from Soviet prisoners of war and local collaborators, who assisted Nazi Germany in carrying out tasks such as guarding and operating concentration and extermination camps during World War II.
-
B.
Hiw
Hiw is an Oceanic language spoken on Hiw Island in northern Vanuatu, known for its small speaker population and distinctive phonological features.
-
C.
Hix
Hix is a small town in the historical region of Cerdanya in the eastern Pyrenees, within present-day France.
-
D.
Hiji
Hiji is a coastal town in Japan known for its location in Ōita Prefecture on the island of Kyushu.
-
E.
HIG
HIG is the stock ticker symbol for The Hartford Financial Services Group, a major U.S.-based insurance and investment company.
- F. None of above. chosen
Provenance (5 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_69de900d28c88190a37feee4743563de |
completed | April 14, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c5a7ab4819090ad0ba45f4ddba9 |
completed | May 8, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fd4d25f1e08190b78205d84ea8b7d7 |
completed | May 8, 2026, 2:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4da8af2c8190ad3e78bbe1c9cd7a |
completed | May 8, 2026, 2:42 a.m. |
Created at: April 10, 2026, 1:16 a.m.