Triple
T15398961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glassnote Records |
E368258
|
entity |
| Predicate | signedArtist |
P16560
|
FINISHED |
| Object |
Aurora
Aurora is a Norwegian singer-songwriter and producer known for her ethereal electropop sound and introspective, nature-inspired lyrics.
|
E942862
|
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: Aurora | Statement: [Glassnote Records, signedArtist, Aurora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aurora Context triple: [Glassnote Records, signedArtist, Aurora]
-
A.
Aurora
Aurora is a suburban town in central York Region, Ontario, known as an affluent residential community within the Greater Toronto Area.
-
B.
Aurora
Aurora was an influential late-18th-century American newspaper edited by Benjamin Franklin Bache that was known for its strong Republican stance and criticism of Federalist policies.
-
C.
Aurora
Aurora is a residential neighborhood located within the Algiers area of New Orleans, Louisiana.
-
D.
Aurora
Aurora was a common Filipino female given name in the early 20th century, notably borne by Aurora Aragon Quezon, the First Lady of the Philippines.
-
E.
Aurora
Aurora is a feminine given name of Latin origin meaning "dawn," famously borne by figures in mythology, royalty, and popular culture.
- 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: Aurora Triple: [Glassnote Records, signedArtist, Aurora]
Generated description
Aurora is a Norwegian singer-songwriter and producer known for her ethereal electropop sound and introspective, nature-inspired lyrics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aurora Target entity description: Aurora is a Norwegian singer-songwriter and producer known for her ethereal electropop sound and introspective, nature-inspired lyrics.
-
A.
Aurora
chosen
Aurora is a Norwegian singer-songwriter known for her ethereal vocals, atmospheric electropop sound, and introspective, nature-inspired lyrics.
-
B.
Aurora
"Aurora" is a song by Björk from her 2001 album *Vespertine*, noted for its delicate, atmospheric sound and poetic lyrics.
-
C.
Aurora
Aurora is a feminine given name of Latin origin meaning "dawn," famously borne by figures in mythology, royalty, and popular culture.
-
D.
Aurora
Aurora is a mystical and theosophical treatise by Jakob Böhme that explores the nature of God, creation, and spiritual rebirth through symbolic and visionary theology.
-
E.
Aurora
Aurora is the Roman goddess of the dawn, who renews herself each morning and announces the arrival of the sun.
- F. None of above.
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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8d89e08190b7cae778d89fb5e1 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff13542c908190abf765b0530c76ce |
completed | May 9, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69ff14042ce8819084817836b096f175 |
completed | May 9, 2026, 11:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff14745a8c81909b10d6b21b88b50b |
completed | May 9, 2026, 11:03 a.m. |
Created at: April 10, 2026, 3:19 a.m.