Triple
T9759973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geordie Hormel |
E236643
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Hormel
Hormel is an American food company best known for producing canned and packaged meat products such as SPAM.
|
E275869
|
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: Hormel | Statement: [Geordie Hormel, familyName, Hormel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hormel Context triple: [Geordie Hormel, familyName, Hormel]
-
A.
Hormel Foods Corporation
Hormel Foods Corporation is a major American food company best known for producing branded meat and packaged food products such as SPAM.
-
B.
Oscar Mayer
Oscar Mayer was a German-American entrepreneur best known for founding the Oscar Mayer meat and cold cut company, a major U.S. food brand.
-
C.
Champion Foods
Champion Foods is a food manufacturing and distribution company owned by Ilitch Holdings, known for producing private-label and branded food products, particularly in the pizza and snack categories.
-
D.
Heinz
Heinz is a historic American food processing company best known for its ketchup and other condiments.
-
E.
Heinz
Heinz is the German given name of Henry Alfred Kissinger, the influential American diplomat and former U.S. Secretary of State.
- 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: Hormel Triple: [Geordie Hormel, familyName, Hormel]
Generated description
Hormel is an American food company best known for producing canned and packaged meat products such as SPAM.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hormel Target entity description: Hormel is an American food company best known for producing canned and packaged meat products such as SPAM.
-
A.
Hormel Foods Corporation
chosen
Hormel Foods Corporation is a major American food company best known for producing branded meat and packaged food products such as SPAM.
-
B.
Oscar Mayer
Oscar Mayer was a German-American entrepreneur best known for founding the Oscar Mayer meat and cold cut company, a major U.S. food brand.
-
C.
Champion Foods
Champion Foods is a food manufacturing and distribution company owned by Ilitch Holdings, known for producing private-label and branded food products, particularly in the pizza and snack categories.
-
D.
Heinz
Heinz is a historic American food processing company best known for its ketchup and other condiments.
-
E.
Heinz
Heinz is the German given name of Henry Alfred Kissinger, the influential American diplomat and former U.S. Secretary of State.
- F. None of above.
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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda049995c81908569ec61805642b2 |
completed | April 1, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bce1c5908190a89815fa2b7d90c8 |
completed | April 5, 2026, 1:37 a.m. |
| NEDg | Description generation | batch_69d1bdfc07648190badacd2f6257601c |
completed | April 5, 2026, 1:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1beb700288190a94b730f2cc353d1 |
completed | April 5, 2026, 1:45 a.m. |
Created at: March 30, 2026, 8:24 p.m.