Triple
T10605670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hormel Foods Corporation |
E275869
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object |
Jennie-O
Jennie-O is a major American food brand best known for its turkey products, including fresh, frozen, and processed turkey items.
|
E874145
|
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: Jennie-O | Statement: [Hormel Foods Corporation, hasBrand, Jennie-O]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jennie-O Context triple: [Hormel Foods Corporation, hasBrand, Jennie-O]
-
A.
Johnnies
Johnnies is the nickname for the athletic teams and students of Saint John's University in Collegeville, Minnesota.
-
B.
Bervie
Bervie is a civil parish in Aberdeenshire, Scotland, encompassing the coastal town of Inverbervie and its surrounding area.
-
C.
Toohey
Toohey is an Australian High Court justice best known for his role in landmark decisions such as Mabo v Queensland (No 2), which recognized native title rights.
-
D.
Driscoll
Driscoll is a surname most notably associated with American child actor Bobby Driscoll, known for his work with Disney in the mid-20th century.
-
E.
Gala Brand
Gala Brand is a fictional Special Branch officer and Bond girl who appears in Ian Fleming’s James Bond novel "Moonraker."
- 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: Jennie-O Triple: [Hormel Foods Corporation, hasBrand, Jennie-O]
Generated description
Jennie-O is a major American food brand best known for its turkey products, including fresh, frozen, and processed turkey items.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jennie-O Target entity description: Jennie-O is a major American food brand best known for its turkey products, including fresh, frozen, and processed turkey items.
-
A.
Johnnies
Johnnies is the nickname for the athletic teams and students of Saint John's University in Collegeville, Minnesota.
-
B.
Bervie
Bervie is a civil parish in Aberdeenshire, Scotland, encompassing the coastal town of Inverbervie and its surrounding area.
-
C.
Toohey
Toohey is an Australian High Court justice best known for his role in landmark decisions such as Mabo v Queensland (No 2), which recognized native title rights.
-
D.
Driscoll
Driscoll is a surname most notably associated with American child actor Bobby Driscoll, known for his work with Disney in the mid-20th century.
-
E.
Gala Brand
Gala Brand is a fictional Special Branch officer and Bond girl who appears in Ian Fleming’s James Bond novel "Moonraker."
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df4a5df88190b993196ca7849a88 |
completed | April 8, 2026, 11:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95eb726bc8190a8db7357bd126016 |
completed | April 10, 2026, 8:33 p.m. |
| NEDg | Description generation | batch_69d95f81955c8190b629d57a034a4b76 |
completed | April 10, 2026, 8:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d961047a78819088094e02c0b99f60 |
completed | April 10, 2026, 8:43 p.m. |
Created at: April 8, 2026, 7:32 p.m.