Triple
T3739391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharp Corporation |
E79661
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object |
Healsio
Healsio is a line of health-focused kitchen appliances by Sharp, best known for its steam ovens that cook with reduced oil and salt.
|
E383933
|
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: Healsio | Statement: [Sharp Corporation, hasBrand, Healsio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Healsio Context triple: [Sharp Corporation, hasBrand, Healsio]
-
A.
Vitalogy
Vitalogy is Pearl Jam’s critically acclaimed 1994 studio album known for its raw, experimental sound and introspective themes.
-
B.
Panacea
Panacea is the Greek goddess of universal remedy and healing, associated with cures for all diseases.
-
C.
Eltigen
Eltigen is a coastal village on the Kerch Peninsula in Crimea, historically notable as a key site of Soviet amphibious landings during World War II.
-
D.
Healtheon
Healtheon was an early internet-based healthcare technology company that aimed to streamline and digitize medical and insurance transactions.
-
E.
Biolon
Biolon is a tributary stream that feeds into Lake Annecy in southeastern France.
- 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: Healsio Triple: [Sharp Corporation, hasBrand, Healsio]
Generated description
Healsio is a line of health-focused kitchen appliances by Sharp, best known for its steam ovens that cook with reduced oil and salt.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Healsio Target entity description: Healsio is a line of health-focused kitchen appliances by Sharp, best known for its steam ovens that cook with reduced oil and salt.
-
A.
Vitalogy
Vitalogy is Pearl Jam’s critically acclaimed 1994 studio album known for its raw, experimental sound and introspective themes.
-
B.
Panacea
Panacea is the Greek goddess of universal remedy and healing, associated with cures for all diseases.
-
C.
Eltigen
Eltigen is a coastal village on the Kerch Peninsula in Crimea, historically notable as a key site of Soviet amphibious landings during World War II.
-
D.
Healtheon
Healtheon was an early internet-based healthcare technology company that aimed to streamline and digitize medical and insurance transactions.
-
E.
Biolon
Biolon is a tributary stream that feeds into Lake Annecy in southeastern France.
- 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_69ad8b115610819095b02007da5ca3cb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb404b908190b6b4ee583dee3cc9 |
completed | March 8, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4db23ff3c81908d19295a7ce4a39c |
completed | March 14, 2026, 3:51 a.m. |
| NEDg | Description generation | batch_69b4dbabb314819092dbd1ece83a894c |
completed | March 14, 2026, 3:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4dc9b80f8819083074657a32798a4 |
completed | March 14, 2026, 3:57 a.m. |
Created at: March 8, 2026, 3:34 p.m.