Triple
T4830050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campbell Soup Company |
E107922
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object | Abraham Anderson |
E187084
|
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: Abraham Anderson | Statement: [Campbell Soup Company, founder, Abraham Anderson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abraham Anderson Context triple: [Campbell Soup Company, founder, Abraham Anderson]
-
A.
Abraham Anderson
chosen
Abraham Anderson was an American businessman best known as a co-founder of the Campbell Soup Company.
-
B.
Samuel Anderson
Samuel Anderson is a British actor best known for his work in television and theatre, including notable roles in series like "Doctor Who" and "Emmerdale."
-
C.
Elias Anderson
Elias Anderson was the individual after whom the city of Anderson, likely a notable local founder or early settler, was named.
-
D.
Abraham Martin
Abraham Martin was a 17th-century French settler and royal pilot in New France whose name was given to the historic Plains of Abraham in Quebec City.
-
E.
Abraham Pierson
Abraham Pierson was a colonial American clergyman and educator who served as the first rector (president) of the institution that became Yale University.
- 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_69bd43fac8188190803f0327190621e4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6cc66c488190a49052e32411dc4b |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4dd0bf7c8190a11065bb61def18e |
completed | March 21, 2026, 7:50 a.m. |
Created at: March 20, 2026, 1:24 p.m.