Triple
T13184267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Progressive |
E313806
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Joseph Lewis |
E761836
|
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: Joseph Lewis | Statement: [Progressive, foundedBy, Joseph Lewis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseph Lewis Context triple: [Progressive, foundedBy, Joseph Lewis]
-
A.
Joseph Lewis
chosen
Joseph Lewis was an American businessman best known as a co-founder of the Progressive Corporation, one of the largest auto insurance companies in the United States.
-
B.
Frankie Elkin
Frankie Elkin is a recurring protagonist in Lisa Gardner’s crime novels, known as an ordinary yet relentless woman who dedicates her life to finding missing people that the world has forgotten.
-
C.
Joseph W. Young
Joseph W. Young was an American real estate developer and city planner best known for creating and developing the planned community of Hollywood, Florida, in the early 20th century.
-
D.
Lewis Allen
Lewis Allen was a local figure of significance after whom the city of Allen Park, Michigan, was named.
-
E.
Lewis Allen
Lewis Allen was a British-born film and television director best known for his atmospheric work in mid-20th-century Hollywood cinema.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c4a0b0081908027bf77442ff5ff |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5f307408190afd0df16a417c456 |
completed | May 3, 2026, 7:14 a.m. |
Created at: April 9, 2026, 9:15 p.m.