Triple
T2713587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rema |
E59915
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Corny
Corny is a song by Nigerian singer and rapper Rema, known for its mellow Afrobeats sound and romantic lyrics.
|
E292194
|
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: Corny | Statement: [Rema, notableWork, Corny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corny Context triple: [Rema, notableWork, Corny]
-
A.
Saucy and Sweet
Saucy and Sweet is a cooking television show hosted by singer and chef Kelis, showcasing her inventive, globally inspired recipes and culinary style.
-
B.
Foolish
"Foolish" is a pop song by American singer Rebecca Black, known for continuing her evolution from viral fame toward more mature, independent music.
-
C.
Stinker
Stinker is a derisive nickname given to the character Gollum in J.R.R. Tolkien’s Middle-earth legendarium, particularly in The Lord of the Rings.
-
D.
Stoopid
"Stoopid" is a high-energy hip hop track by rapper Tekashi 6ix9ine, known for its aggressive delivery and confrontational lyrics.
-
E.
Mad Cows
Mad Cows is a 1999 British comedy film about a chaotic series of misadventures involving a young mother entangled in crime and bureaucracy.
- 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: Corny Triple: [Rema, notableWork, Corny]
Generated description
Corny is a song by Nigerian singer and rapper Rema, known for its mellow Afrobeats sound and romantic lyrics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Corny Target entity description: Corny is a song by Nigerian singer and rapper Rema, known for its mellow Afrobeats sound and romantic lyrics.
-
A.
Saucy and Sweet
Saucy and Sweet is a cooking television show hosted by singer and chef Kelis, showcasing her inventive, globally inspired recipes and culinary style.
-
B.
Foolish
"Foolish" is a pop song by American singer Rebecca Black, known for continuing her evolution from viral fame toward more mature, independent music.
-
C.
Stinker
Stinker is a derisive nickname given to the character Gollum in J.R.R. Tolkien’s Middle-earth legendarium, particularly in The Lord of the Rings.
-
D.
Stoopid
"Stoopid" is a high-energy hip hop track by rapper Tekashi 6ix9ine, known for its aggressive delivery and confrontational lyrics.
-
E.
Mad Cows
Mad Cows is a 1999 British comedy film about a chaotic series of misadventures involving a young mother entangled in crime and bureaucracy.
- 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_69ab4ac92a088190bc74bca14038e3de |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda924b24819090adc4128e86d4bd |
completed | March 7, 2026, 7:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb68552848190ad2e615e16716fa1 |
completed | March 10, 2026, 6:13 a.m. |
| NEDg | Description generation | batch_69afb74d9f4c8190b6b3f568babfb7b5 |
completed | March 10, 2026, 6:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb7c2b9d08190bce599c364d809b7 |
completed | March 10, 2026, 6:18 a.m. |
Created at: March 6, 2026, 9:55 p.m.