Triple
T7902001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Voice of an Angel |
E183473
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Suo-Gân
Suo-Gân is a traditional Welsh lullaby known for its gentle melody and soothing, lyrical character.
|
E700501
|
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: Suo-Gân | Statement: [Voice of an Angel, hasTrack, Suo-Gân]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suo-Gân Context triple: [Voice of an Angel, hasTrack, Suo-Gân]
-
A.
Shungnak
Shungnak is a small Inupiat village in northwestern Alaska known for its remote location above the Arctic Circle and traditional subsistence lifestyle.
-
B.
Mandegusu
Mandegusu is an alternate name for Simbo, an island in the Western Province of the Solomon Islands in the South Pacific.
-
C.
Nam-ku
Nam-ku is the McCune–Reischauer romanization of Nam District, an administrative district in the city of Busan, South Korea.
-
D.
Sindo
Sindo is an island and administrative division of Ongjin County in Incheon, South Korea, known for its rural landscape and coastal environment.
-
E.
Suinula
Suinula is a locality in Finland historically noted as a site of significant events during the Finnish Civil War’s White Terror period.
- 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: Suo-Gân Triple: [Voice of an Angel, hasTrack, Suo-Gân]
Generated description
Suo-Gân is a traditional Welsh lullaby known for its gentle melody and soothing, lyrical character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Suo-Gân Target entity description: Suo-Gân is a traditional Welsh lullaby known for its gentle melody and soothing, lyrical character.
-
A.
Shungnak
Shungnak is a small Inupiat village in northwestern Alaska known for its remote location above the Arctic Circle and traditional subsistence lifestyle.
-
B.
Mandegusu
Mandegusu is an alternate name for Simbo, an island in the Western Province of the Solomon Islands in the South Pacific.
-
C.
Nam-ku
Nam-ku is the McCune–Reischauer romanization of Nam District, an administrative district in the city of Busan, South Korea.
-
D.
Sindo
Sindo is an island and administrative division of Ongjin County in Incheon, South Korea, known for its rural landscape and coastal environment.
-
E.
Suinula
Suinula is a locality in Finland historically noted as a site of significant events during the Finnish Civil War’s White Terror period.
- 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a40a0508190864479c2c41b12cb |
completed | March 31, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bbd93348190883c6152f18f8214 |
completed | March 31, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_69cb7632cbbc819087107c8d2172a038 |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbb64eee408190a66cbd0cba3054b4 |
completed | March 31, 2026, 11:55 a.m. |
Created at: March 30, 2026, 5:02 p.m.