Triple
T12661868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anner Bylsma |
E302443
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object |
Seon
Seon was a classical music record label known for its historically informed and baroque performance recordings.
|
E996407
|
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: Seon | Statement: [Anner Bylsma, recordLabel, Seon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seon Context triple: [Anner Bylsma, recordLabel, Seon]
-
A.
Won-dong
Won-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea.
-
B.
Cheonji
Cheonji is the high-altitude crater lake atop Paektu Mountain on the border of China and North Korea, renowned for its scenic beauty and volcanic origin.
-
C.
Sanggyeong
Sanggyeong was the principal royal capital city of the Balhae kingdom, serving as its political and cultural center in Northeast Asia.
-
D.
Donghaksa
Donghaksa is a historic Buddhist temple in South Korea, noted for its scenic mountain setting and traditional monastic training.
-
E.
Sinseongbong
Sinseongbong is a prominent mountain peak located within the Gyeryongsan mountain range in South Korea.
- 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: Seon Triple: [Anner Bylsma, recordLabel, Seon]
Generated description
Seon was a classical music record label known for its historically informed and baroque performance recordings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Seon Target entity description: Seon was a classical music record label known for its historically informed and baroque performance recordings.
-
A.
Won-dong
Won-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea.
-
B.
Cheonji
Cheonji is the high-altitude crater lake atop Paektu Mountain on the border of China and North Korea, renowned for its scenic beauty and volcanic origin.
-
C.
Sanggyeong
Sanggyeong was the principal royal capital city of the Balhae kingdom, serving as its political and cultural center in Northeast Asia.
-
D.
Donghaksa
Donghaksa is a historic Buddhist temple in South Korea, noted for its scenic mountain setting and traditional monastic training.
-
E.
Sinseongbong
Sinseongbong is a prominent mountain peak located within the Gyeryongsan mountain range in South Korea.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617c5b888190b37d4ede139bb49e |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6688819fc8190bc03a1a11f96d25f |
completed | May 2, 2026, 9:11 p.m. |
| NEDg | Description generation | batch_69f669c9454081909d39d5bb7082fb00 |
completed | May 2, 2026, 9:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f66b619c88819098acbfb60fac9921 |
completed | May 2, 2026, 9:23 p.m. |
Created at: April 9, 2026, 5:19 p.m.