Triple
T18048586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aries |
E431865
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Suave |
—
|
NE NERFINISHED |
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: Suave | Statement: [Aries, hasPart, Suave]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suave Context triple: [Aries, hasPart, Suave]
-
A.
Suave
chosen
"Suave" is a popular reggaeton track by Puerto Rican rapper Aries that showcases his smooth, rhythmic style and catchy hooks.
-
B.
Nice & Smooth
Nice & Smooth is an American hip hop duo known for their playful lyrics, melodic hooks, and contributions to the late 1980s and early 1990s East Coast rap scene.
-
C.
Mr. Smooth-it-away
Mr. Smooth-it-away is a persuasive, worldly guide in Nathaniel Hawthorne’s allegorical tale "The Celestial Railroad," symbolizing deceptive ease and moral complacency on the path to salvation.
-
D.
Lisse
Lisse is a town in the western Netherlands renowned for its flower bulb fields and the famous Keukenhof gardens.
-
E.
Angel Soft
Angel Soft is a popular American toilet paper brand known for its balance of softness, strength, and affordability.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4bff39394819080407e1614bd5da9 |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 10:25 a.m.