Triple
T6351446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seventeen |
E142879
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object |
Jeonghan
Jeonghan is a South Korean singer best known as a vocalist and visual member of the K-pop boy group Seventeen.
|
E589333
|
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: Jeonghan | Statement: [Seventeen, member, Jeonghan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeonghan Context triple: [Seventeen, member, Jeonghan]
-
A.
Seonghwan
Seonghwan is a locality in South Korea historically noted as the site of the Battle of Seonghwan during the First Sino-Japanese War.
-
B.
Wi Ha-joon
Wi Ha-joon is a South Korean actor and model best known internationally for his breakout role in the hit Netflix survival drama series "Squid Game."
-
C.
J-Kwon
J-Kwon is an American rapper best known for his 2004 hit single "Tipsy."
-
D.
Naong Hyegeun
Naong Hyegeun was a prominent Korean Buddhist monk and reformer of the Goryeo dynasty, known for revitalizing Seon (Zen) Buddhism and establishing important temples.
-
E.
Cho Yo-han
Cho Yo-han is the Korean birth name of John Cho, a Korean American actor best known for his roles in the "Harold & Kumar" films and the "Star Trek" reboot series.
- 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: Jeonghan Triple: [Seventeen, member, Jeonghan]
Generated description
Jeonghan is a South Korean singer best known as a vocalist and visual member of the K-pop boy group Seventeen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeonghan Target entity description: Jeonghan is a South Korean singer best known as a vocalist and visual member of the K-pop boy group Seventeen.
-
A.
Seonghwan
Seonghwan is a locality in South Korea historically noted as the site of the Battle of Seonghwan during the First Sino-Japanese War.
-
B.
Wi Ha-joon
Wi Ha-joon is a South Korean actor and model best known internationally for his breakout role in the hit Netflix survival drama series "Squid Game."
-
C.
J-Kwon
J-Kwon is an American rapper best known for his 2004 hit single "Tipsy."
-
D.
Naong Hyegeun
Naong Hyegeun was a prominent Korean Buddhist monk and reformer of the Goryeo dynasty, known for revitalizing Seon (Zen) Buddhism and establishing important temples.
-
E.
Cho Yo-han
Cho Yo-han is the Korean birth name of John Cho, a Korean American actor best known for his roles in the "Harold & Kumar" films and the "Star Trek" reboot series.
- 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_69c008d6dcbc8190aa1c2f1fd8916b42 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067dc2790819084aaf7067dc25733 |
completed | March 22, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62d52cbd881908ac36eca108f3194 |
completed | March 27, 2026, 7:10 a.m. |
| NEDg | Description generation | batch_69c631ef5df8819094e0faf89cbe6971 |
completed | March 27, 2026, 7:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6327c63308190be17cb1bf07259ce |
completed | March 27, 2026, 7:32 a.m. |
Created at: March 22, 2026, 4:31 p.m.