Triple
T22020899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mojo |
E543842
|
entity |
| Predicate | notableCharacter |
P1481
|
FINISHED |
| Object |
Sweets
Sweets is a character named for his sweet, easygoing personality, often serving as a likable and supportive presence in the story.
|
E1514055
|
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: Sweets | Statement: [Mojo, notableCharacter, Sweets]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sweets Context triple: [Mojo, notableCharacter, Sweets]
-
A.
Sweets
Sweets is the nickname of Harry "Sweets" Edison, a prominent American jazz trumpeter known for his work with the Count Basie Orchestra and as a sought-after studio musician.
-
B.
Fruit Pastilles
Fruit Pastilles are chewy, sugar-coated fruit-flavoured sweets popular in the UK and produced under the Rowntree’s brand.
-
C.
Sweetarts
Sweetarts are a popular American candy consisting of tangy, fruit-flavored compressed sugar tablets known for their sweet-and-sour taste.
-
D.
Chocolate
"Chocolate" is a popular 2013 indie pop song by English band The 1975, known for its catchy melody and playful lyrics that helped launch the group to mainstream recognition.
-
E.
Sweetums
Sweetums is a large, shaggy, ogre-like Muppet character known for his imposing appearance and surprisingly gentle, lovable personality.
- 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: Sweets Triple: [Mojo, notableCharacter, Sweets]
Generated description
Sweets is a character named for his sweet, easygoing personality, often serving as a likable and supportive presence in the story.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sweets Target entity description: Sweets is a character named for his sweet, easygoing personality, often serving as a likable and supportive presence in the story.
-
A.
Sweets
Sweets is the nickname of Harry "Sweets" Edison, a prominent American jazz trumpeter known for his work with the Count Basie Orchestra and as a sought-after studio musician.
-
B.
Fruit Pastilles
Fruit Pastilles are chewy, sugar-coated fruit-flavoured sweets popular in the UK and produced under the Rowntree’s brand.
-
C.
Sweetarts
Sweetarts are a popular American candy consisting of tangy, fruit-flavored compressed sugar tablets known for their sweet-and-sour taste.
-
D.
Chocolate
"Chocolate" is a popular 2013 indie pop song by English band The 1975, known for its catchy melody and playful lyrics that helped launch the group to mainstream recognition.
-
E.
Sweetums
Sweetums is a large, shaggy, ogre-like Muppet character known for his imposing appearance and surprisingly gentle, lovable personality.
- 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127c7b3308190ac056bef6f82722e |
completed | April 28, 2026, 9:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a738382f4819098bd47f00946e65b |
completed | May 18, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_6a0a745e534881909a681b9f2234afa5 |
completed | May 18, 2026, 2:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a7857e6dc819088b592cdff7d4cf3 |
completed | May 18, 2026, 2:24 a.m. |
Created at: April 16, 2026, 8:23 p.m.