Triple
T10717064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leo da Lion |
E252704
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Back to Basics |
E885207
|
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: Back to Basics | Statement: [Leo da Lion, knownFor, Back to Basics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Back to Basics Context triple: [Leo da Lion, knownFor, Back to Basics]
-
A.
Back to Basics
Back to Basics is a studio album by the American rock band Hurt, known for its blend of alternative metal and post-grunge elements.
-
B.
Back to Basics
Back to Basics is a Filipino television comedy show best known as a notable work of comedian and writer Tony Reyes.
-
C.
Back to Basics
Back to Basics is a prominent work by Ghanaian rapper Kwame that showcases his lyrical style and contributions to contemporary African hip-hop.
-
D.
Back to Basics
chosen
Back to Basics is a notable work by Leo da Lion, recognized for showcasing his distinctive style and creative approach.
-
E.
Back to Basics (album)
Back to Basics is a 2006 double-disc concept album by Christina Aguilera that blends pop and R&B with jazz, soul, and blues influences inspired by the music of the 1920s–1940s.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6ff3566e88190b5c0c6d1b159dd45 |
completed | April 9, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de847e0ee48190a4c1470fc5296213 |
completed | April 14, 2026, 6:16 p.m. |
Created at: April 8, 2026, 9:13 p.m.