Triple
T5034241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlos Fuentes |
E113381
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Aura |
E206569
|
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 | Statement: [Carlos Fuentes, notableWork, Aura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aura Context triple: [Carlos Fuentes, notableWork, Aura]
-
A.
Aura
Aura is a popular reggaeton and Latin trap album by Puerto Rican singer Ozuna, known for its melodic style and chart-topping hits.
-
B.
Aura
chosen
Aura is a small municipality in southwestern Finland known for its rural landscapes and proximity to the city of Turku.
-
C.
Aurae
Aurae are minor Greek mythological nymphs associated with the breezes and gentle winds of the air.
-
D.
Aura Music
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.
-
E.
AURA
AURA (Association of Universities for Research in Astronomy) is a consortium of institutions that operates major astronomical observatories and facilities on behalf of the scientific community.
- 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_69bd44384298819089c49e7c330ec7b8 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73b8646c8190b3cc20193e4639ee |
completed | March 20, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c759c608190875b6d48d99024b4 |
completed | March 21, 2026, 1:26 p.m. |
Created at: March 20, 2026, 1:36 p.m.