Triple
T13640855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coolio |
E325970
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Artis |
E172248
|
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: Artis | Statement: [Coolio, givenName, Artis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Artis Context triple: [Coolio, givenName, Artis]
-
A.
Artis
chosen
Artis is a masculine given name most notably borne by Hall of Fame basketball center Artis Gilmore.
-
B.
Kon Artis
Kon Artis is the stage name of Mr. Porter, an American rapper and producer best known as a longtime member of D12 and collaborator with Eminem.
-
C.
Artěl
Artěl was a Czech artists' and designers' cooperative active in the early 20th century that promoted modern applied arts and design.
-
D.
Arties
Arties is a picturesque village in Spain’s Val d’Aran, known for its traditional Pyrenean architecture and mountain scenery.
-
E.
Artsyz
Artsyz is a small town in southwestern Ukraine known for its agricultural surroundings and location within the historical region of Bessarabia.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc5aac7308190a3fd26baeade8f2a |
completed | April 12, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78af46fe481909c6f9a6f58f887d1 |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:51 p.m.