Triple
T8426937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brasil '66 |
E199025
|
entity |
| Predicate | notableAlbum |
P4
|
FINISHED |
| Object | Equinox |
E733329
|
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: Equinox | Statement: [Brasil '66, notableAlbum, Equinox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Equinox Context triple: [Brasil '66, notableAlbum, Equinox]
-
A.
Equinox
chosen
Equinox is a 1967 bossa nova and jazz-pop album by Sérgio Mendes & Brasil '66 that helped popularize Brazilian music internationally with its smooth, sophisticated arrangements.
-
B.
Équinoxe
Équinoxe is a 1978 electronic music album by French composer Jean-Michel Jarre, known for its atmospheric, synthesizer-driven soundscapes and pioneering role in electronic music.
-
C.
Acronychia
Acronychia is a genus of flowering plants in the citrus family known for its shrubs and small trees bearing aromatic leaves and fleshy fruits.
-
D.
Dawn
Dawn is a feminine given name commonly associated with the early morning time when light first appears in the sky.
-
E.
Dawn
Dawn is a modernist sculpture featured in Ludwig Mies van der Rohe’s iconic Barcelona Pavilion.
- 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_69ca8313c99081909a5c6d83b91de5b3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbd122af6481908fbe53fe30bdd135 |
completed | March 31, 2026, 1:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1d502c448190aabc957786bde79f |
completed | April 2, 2026, 7:40 a.m. |
Created at: March 30, 2026, 6:07 p.m.