Triple
T13059718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OVO Sound |
E329165
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object |
Smiley
Smiley is a Canadian rapper known for his distinctive vocal style and for being one of the artists signed to Drake’s OVO Sound label.
|
E1018789
|
NE FINISHED |
How this triple was built (4 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: Smiley | Statement: [OVO Sound, associatedAct, Smiley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smiley Context triple: [OVO Sound, associatedAct, Smiley]
-
A.
Smiley
Smiley is a surname most notably associated with American novelist Jane Smiley, known for her Pulitzer Prize–winning work.
-
B.
Smiley
Smiley was the stage name of Smiley Burnette, an American country music performer, songwriter, and comedic actor best known for his sidekick roles in Western films and early television.
-
C.
Smiley Face
Smiley Face is a 2007 stoner comedy film starring Anna Faris as an out-of-work actress who embarks on a chaotic, marijuana-fueled day in Los Angeles.
-
D.
Smiley Smile
Smiley Smile is a 1967 studio album by the Beach Boys, noted for its minimalist, lo-fi reworking of material from the abandoned Smile project.
-
E.
Eyeball Paul
Eyeball Paul is a fictional, hard-partying DJ and comic antagonist from the British comedy film "Kevin & Perry Go Large."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Smiley Triple: [OVO Sound, associatedAct, Smiley]
Generated description
Smiley is a Canadian rapper known for his distinctive vocal style and for being one of the artists signed to Drake’s OVO Sound label.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Smiley Target entity description: Smiley is a Canadian rapper known for his distinctive vocal style and for being one of the artists signed to Drake’s OVO Sound label.
-
A.
Smiley
Smiley is a surname most notably associated with American novelist Jane Smiley, known for her Pulitzer Prize–winning work.
-
B.
Smiley
Smiley was the stage name of Smiley Burnette, an American country music performer, songwriter, and comedic actor best known for his sidekick roles in Western films and early television.
-
C.
Smiley Face
Smiley Face is a 2007 stoner comedy film starring Anna Faris as an out-of-work actress who embarks on a chaotic, marijuana-fueled day in Los Angeles.
-
D.
Smiley Smile
Smiley Smile is a 1967 studio album by the Beach Boys, noted for its minimalist, lo-fi reworking of material from the abandoned Smile project.
-
E.
Eyeball Paul
Eyeball Paul is a fictional, hard-partying DJ and comic antagonist from the British comedy film "Kevin & Perry Go Large."
- F. None of above. chosen
Provenance (5 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980be37208190962e91f1e19df159 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbe259408190a7e88482c96f24a9 |
completed | May 3, 2026, 4:15 a.m. |
| NEDg | Description generation | batch_69f6cdc285788190a05a51295306f087 |
completed | May 3, 2026, 4:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6ceafcca88190bcd65be3c4440987 |
completed | May 3, 2026, 4:27 a.m. |
Created at: April 9, 2026, 8:58 p.m.