Triple
T22976804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joy Mangano |
E571343
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Miracle Mop |
—
|
NE NERFINISHED |
How this triple was built (2 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: Miracle Mop | Statement: [Joy Mangano, notableWork, Miracle Mop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miracle Mop Context triple: [Joy Mangano, notableWork, Miracle Mop]
-
A.
Miracle Mop
chosen
The Miracle Mop is a self-wringing household cleaning mop invented by Joy Mangano that became widely popular through television infomercials.
-
B.
The Mop
The Mop is a viral hip-hop track by rapper TisaKorean, known for its playful energy and dance-focused, internet-driven popularity.
-
C.
Klook-mop
Klook-mop is a nickname for Kenny Clarke, the pioneering American jazz drummer and key architect of the bebop drumming style.
-
D.
Scrubbing Bubbles
Scrubbing Bubbles is a popular household cleaning product line known for its foaming action and animated bubble mascots used to clean bathrooms and other surfaces.
-
E.
Miracol
Miracol is a Romanian film featuring actor Tudor Aaron Istodor in a prominent role.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182369b548190a6630655a6e0bb39 |
completed | April 29, 2026, 3:59 a.m. |
Created at: April 17, 2026, 3:48 p.m.