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.