Triple
T20878401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wonka brand |
E514080
|
entity |
| Predicate | hasNotableProduct |
P1448
|
FINISHED |
| Object |
Sweetarts
Sweetarts are a popular American candy consisting of tangy, fruit-flavored compressed sugar tablets known for their sweet-and-sour taste.
|
E1455046
|
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: Sweetarts | Statement: [Wonka brand, hasNotableProduct, Sweetarts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sweetarts Context triple: [Wonka brand, hasNotableProduct, Sweetarts]
-
A.
Sweetums
Sweetums is a large, shaggy, ogre-like Muppet character known for his imposing appearance and surprisingly gentle, lovable personality.
-
B.
Sweet Candy
Sweet Candy is a track from AC/DC's 2014 hard rock album "Rock or Bust."
-
C.
Les Bonbons
"Les Bonbons" is a satirical chanson by Belgian singer-songwriter Jacques Brel, known for its dark humor and theatrical storytelling about a man’s increasingly absurd attempts at courtship.
-
D.
Candy
"Candy" is a 1999 pop song by American singer Mandy Moore that became her breakout hit and signature early single.
-
E.
Candy
Candy is an aging ranch handyman in John Steinbeck’s novel "Of Mice and Men," known for his lost hand, his old dog, and his desperate hope to join George and Lennie’s dream of owning a farm.
- 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: Sweetarts Triple: [Wonka brand, hasNotableProduct, Sweetarts]
Generated description
Sweetarts are a popular American candy consisting of tangy, fruit-flavored compressed sugar tablets known for their sweet-and-sour taste.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sweetarts Target entity description: Sweetarts are a popular American candy consisting of tangy, fruit-flavored compressed sugar tablets known for their sweet-and-sour taste.
-
A.
Sweetums
Sweetums is a large, shaggy, ogre-like Muppet character known for his imposing appearance and surprisingly gentle, lovable personality.
-
B.
Sweet Candy
Sweet Candy is a track from AC/DC's 2014 hard rock album "Rock or Bust."
-
C.
Les Bonbons
"Les Bonbons" is a satirical chanson by Belgian singer-songwriter Jacques Brel, known for its dark humor and theatrical storytelling about a man’s increasingly absurd attempts at courtship.
-
D.
Candy
"Candy" is a 1999 pop song by American singer Mandy Moore that became her breakout hit and signature early single.
-
E.
Candy
Candy is an aging ranch handyman in John Steinbeck’s novel "Of Mice and Men," known for his lost hand, his old dog, and his desperate hope to join George and Lennie’s dream of owning a farm.
- 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c6775f108190a79cd5e8c31cecf6 |
completed | April 21, 2026, 12:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0913a242e08190be0a234ba5221a3a |
completed | May 17, 2026, 1:02 a.m. |
| NEDg | Description generation | batch_6a09146856cc819087dbfbe5f9b24bb1 |
completed | May 17, 2026, 1:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0915506ff48190a97f89092dac2ca2 |
completed | May 17, 2026, 1:09 a.m. |
Created at: April 16, 2026, 12:45 p.m.