Triple
T15833731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plasmacluster |
E383932
|
entity |
| Predicate | brandOf |
P1500
|
FINISHED |
| Object | Sharp refrigerators |
E277046
|
NE FINISHED |
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: Sharp refrigerators | Statement: [Plasmacluster, brandOf, Sharp refrigerators]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sharp refrigerators Context triple: [Plasmacluster, brandOf, Sharp refrigerators]
-
A.
The Refrigerator
The Refrigerator is the nickname of William Perry, a former NFL defensive lineman for the Chicago Bears known for his massive size and occasional goal-line rushing plays in the 1980s.
-
B.
Freezers
Freezers is a professional ice hockey team based in Hamburg, Germany, that competed in the Deutsche Eishockey Liga.
-
C.
Samsung Family Hub refrigerators
Samsung Family Hub refrigerators are smart, internet-connected fridges with large touchscreens and integrated apps that serve as a central hub for kitchen management, entertainment, and home connectivity.
-
D.
Sharp
Sharp is a common English surname borne by numerous notable individuals across politics, sports, academia, and the arts.
-
E.
Sharp
chosen
Sharp is a Japanese electronics manufacturer best known for producing consumer devices such as mobile phones, televisions, and display technologies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e11e6670d48190a456581dd951f168 |
completed | April 16, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa137be2c81909c8f04b5cc1a5b21 |
completed | May 9, 2026, 9:03 p.m. |
Created at: April 10, 2026, 4:49 a.m.