Triple
T19530552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gugak |
E488641
|
entity |
| Predicate | hasGenre |
P14
|
FINISHED |
| Object |
Sinawi
Sinawi is a traditional Korean improvisational ensemble music style associated with shamanistic rituals and often performed using instruments like the daegeum, haegeum, and janggu.
|
E1381458
|
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: Sinawi | Statement: [Gugak, hasGenre, Sinawi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sinawi Context triple: [Gugak, hasGenre, Sinawi]
-
A.
Ishkur
Ishkur is a Mesopotamian storm and rain god associated with thunder, fertility, and seasonal weather.
-
B.
Sulem
Sulem is a modern locality believed by some scholars to correspond to the ancient biblical town of Shunem in present-day Israel.
-
C.
Khamaria
Khamaria is a locality in India known primarily as the home base of the football club OFK.
-
D.
Shekini
Shekini is a popular Afrobeat/dancehall song by Nigerian music duo P-Square known for its energetic rhythm and club-friendly vibe.
-
E.
Isinai
Isinai is an Austronesian language spoken by the Isinai people of Nueva Vizcaya in the northern Philippines.
- 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: Sinawi Triple: [Gugak, hasGenre, Sinawi]
Generated description
Sinawi is a traditional Korean improvisational ensemble music style associated with shamanistic rituals and often performed using instruments like the daegeum, haegeum, and janggu.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sinawi Target entity description: Sinawi is a traditional Korean improvisational ensemble music style associated with shamanistic rituals and often performed using instruments like the daegeum, haegeum, and janggu.
-
A.
Ishkur
Ishkur is a Mesopotamian storm and rain god associated with thunder, fertility, and seasonal weather.
-
B.
Sulem
Sulem is a modern locality believed by some scholars to correspond to the ancient biblical town of Shunem in present-day Israel.
-
C.
Khamaria
Khamaria is a locality in India known primarily as the home base of the football club OFK.
-
D.
Shekini
Shekini is a popular Afrobeat/dancehall song by Nigerian music duo P-Square known for its energetic rhythm and club-friendly vibe.
-
E.
Isinai
Isinai is an Austronesian language spoken by the Isinai people of Nueva Vizcaya in the northern Philippines.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6363ec6cc8190b9e9ac0196b288f9 |
completed | April 20, 2026, 2:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a074e7b52d88190b0e095ce39d7a003 |
completed | May 15, 2026, 4:48 p.m. |
| NEDg | Description generation | batch_6a074f6d79b88190a0b8442af2be0ed1 |
completed | May 15, 2026, 4:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a074fed47bc8190b1a78dcc50345ca4 |
completed | May 15, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:41 p.m.