Triple
T8484698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nibiru |
E200803
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | Aura Music |
E200819
|
NE FINISHED |
How this triple was built (2 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: Aura Music | Statement: [Nibiru, recordLabel, Aura Music]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aura Music Context triple: [Nibiru, recordLabel, Aura Music]
-
A.
Aura Music
chosen
Aura Music is a music-related entity associated with Puerto Rican reggaeton and Latin trap artist Ozuna, likely involved in the production or promotion of his work.
-
B.
Aura
Aura is a popular reggaeton and Latin trap album by Puerto Rican singer Ozuna, known for its melodic style and chart-topping hits.
-
C.
Aura
Aura is a contemporary classical composition by Italian avant-garde composer and conductor Bruno Maderna.
-
D.
Aura
Aura is a small municipality in southwestern Finland known for its rural landscapes and proximity to the city of Turku.
-
E.
Audion
Audion is an early triode vacuum tube invented by Lee de Forest that enabled the amplification of electrical signals and was crucial to the development of radio and electronics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca831d7b148190a6e32c1de43ab13b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe539b70c81909f8f045312f0d5f8 |
completed | March 31, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce3a3d7cb481908b366f76639bb955 |
completed | April 2, 2026, 9:43 a.m. |
Created at: March 30, 2026, 6:12 p.m.