Triple
T18542523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marvin Scandrick |
E453134
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Cupid
"Cupid" is a 1997 R&B single by Marvin Scandrick, better known as Slim of 112, noted for its smooth vocals and romantic lyrics.
|
E1331065
|
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: Cupid | Statement: [Marvin Scandrick, notableWork, Cupid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cupid Context triple: [Marvin Scandrick, notableWork, Cupid]
-
A.
Cupid
Cupid is the Roman god of love and desire, traditionally depicted as a winged boy whose arrows cause people to fall in love.
-
B.
Cupid
Cupid is an American Thoroughbred racehorse known for his graded stakes victories and subsequent career as a breeding stallion.
-
C.
Cupid
Cupid is one of Santa Claus’s traditional flying reindeer, typically depicted pulling his sleigh on Christmas Eve.
-
D.
Cupid
"Cupid" is a popular K-pop song by the girl group FIFTY FIFTY, widely known for its catchy melody and viral success on social media platforms.
-
E.
Cupids
Cupids is a small historic town in Newfoundland and Labrador, Canada, recognized as one of the earliest English settlements in North America.
- 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: Cupid Triple: [Marvin Scandrick, notableWork, Cupid]
Generated description
"Cupid" is a 1997 R&B single by Marvin Scandrick, better known as Slim of 112, noted for its smooth vocals and romantic lyrics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cupid Target entity description: "Cupid" is a 1997 R&B single by Marvin Scandrick, better known as Slim of 112, noted for its smooth vocals and romantic lyrics.
-
A.
Cupid
Cupid is one of Santa Claus’s traditional flying reindeer, typically depicted pulling his sleigh on Christmas Eve.
-
B.
Cupid
Cupid is the Roman god of love and desire, traditionally depicted as a winged boy whose arrows cause people to fall in love.
-
C.
Cupid
Cupid is an American Thoroughbred racehorse known for his graded stakes victories and subsequent career as a breeding stallion.
-
D.
Cupid
"Cupid" is a popular K-pop song by the girl group FIFTY FIFTY, widely known for its catchy melody and viral success on social media platforms.
-
E.
Cupids
Cupids is a small historic town in Newfoundland and Labrador, Canada, recognized as one of the earliest English settlements in North America.
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e534b80fc081908488417787d1b166 |
completed | April 19, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a049ad9d8108190b7251f293563a056 |
completed | May 13, 2026, 3:38 p.m. |
| NEDg | Description generation | batch_6a049d1fabfc8190ade010ba5d2a2c1b |
completed | May 13, 2026, 3:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a049f83689c81908e02646a157c80d4 |
completed | May 13, 2026, 3:57 p.m. |
Created at: April 10, 2026, 11:38 a.m.