Triple
T6196837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John H. Tilelli Jr. |
E138528
|
entity |
| Predicate | boardMemberOf |
P10
|
FINISHED |
| Object | USAA |
E313807
|
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: USAA | Statement: [John H. Tilelli Jr., boardMemberOf, USAA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: USAA Context triple: [John H. Tilelli Jr., boardMemberOf, USAA]
-
A.
USAA
chosen
USAA is a U.S.-based financial services company best known for providing insurance, banking, and investment products primarily to military members and their families.
-
B.
Capital One
Capital One is a major American bank holding company best known for its credit card, auto loan, banking, and savings products.
-
C.
BBVA USA
BBVA USA was a U.S.-based banking institution offering retail and commercial financial services as part of the global BBVA Group.
-
D.
U.S. Bank
U.S. Bank is a major American financial services company and one of the largest commercial banks in the United States.
-
E.
Wells Fargo
Wells Fargo is a large American multinational financial services company and one of the biggest banks in the United States.
- 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_69c008ab9b3081908a11b2c744838435 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062508f5c8190a00291708a9a7de9 |
completed | March 22, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16f2a40a88190847f607a6e2c5f4e |
completed | March 23, 2026, 4:49 p.m. |
Created at: March 22, 2026, 4:20 p.m.