Triple
T15143867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TisaKorean |
E361755
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
The Mop
The Mop is a viral hip-hop track by rapper TisaKorean, known for its playful energy and dance-focused, internet-driven popularity.
|
E1140161
|
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: The Mop | Statement: [TisaKorean, notableWork, The Mop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Mop Context triple: [TisaKorean, notableWork, The Mop]
-
A.
Moppet
Moppet is one of the mischievous kitten siblings in Beatrix Potter’s children’s story "The Tale of Tom Kitten."
-
B.
The Mobe
The Mobe, short for the National Mobilization Committee to End the War in Vietnam, was a major American anti–Vietnam War coalition that coordinated large-scale protest actions during the 1960s.
-
C.
Mook
Mook is a village in the Dutch province of Limburg, known for its scenic location along the Maas River near the German border.
-
D.
Mook
Mook is a surname most notably associated with Robby Mook, an American political strategist and campaign manager.
-
E.
The Peg
The Peg is a colloquial nickname for Winnipeg, the capital and largest city of the Canadian province of Manitoba.
- 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: The Mop Triple: [TisaKorean, notableWork, The Mop]
Generated description
The Mop is a viral hip-hop track by rapper TisaKorean, known for its playful energy and dance-focused, internet-driven popularity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Mop Target entity description: The Mop is a viral hip-hop track by rapper TisaKorean, known for its playful energy and dance-focused, internet-driven popularity.
-
A.
Moppet
Moppet is one of the mischievous kitten siblings in Beatrix Potter’s children’s story "The Tale of Tom Kitten."
-
B.
The Mobe
The Mobe, short for the National Mobilization Committee to End the War in Vietnam, was a major American anti–Vietnam War coalition that coordinated large-scale protest actions during the 1960s.
-
C.
Mook
Mook is a village in the Dutch province of Limburg, known for its scenic location along the Maas River near the German border.
-
D.
Mook
Mook is a surname most notably associated with Robby Mook, an American political strategist and campaign manager.
-
E.
The Peg
The Peg is a colloquial nickname for Winnipeg, the capital and largest city of the Canadian province of Manitoba.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005c5c4248190b57234e3ccf2831b |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febfee0ae48190a36523d3eeae9740 |
completed | May 9, 2026, 5:02 a.m. |
| NEDg | Description generation | batch_69fec17d53448190942e5df10ffad4e5 |
completed | May 9, 2026, 5:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fec2300c4481908892a6515d99c12f |
completed | May 9, 2026, 5:12 a.m. |
Created at: April 10, 2026, 3:07 a.m.