Triple
T11245180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Union Spectrum |
E266183
|
entity |
| Predicate | successorName |
P78
|
FINISHED |
| Object | Wells Fargo Spectrum |
E266184
|
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: Wells Fargo Spectrum | Statement: [First Union Spectrum, successorName, Wells Fargo Spectrum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wells Fargo Spectrum Context triple: [First Union Spectrum, successorName, Wells Fargo Spectrum]
-
A.
Wachovia Spectrum
chosen
Wachovia Spectrum was the former name of the Philadelphia indoor arena later known simply as the Spectrum, a major venue for sports and entertainment events.
-
B.
Wells Fargo
Wells Fargo is a large American multinational financial services company and one of the biggest banks in the United States.
-
C.
Capital One
Capital One is a major American bank holding company best known for its credit card, auto loan, banking, and savings products.
-
D.
Orange Bank
Orange Bank is a French mobile-first digital bank offering online banking and financial services under the Orange telecommunications brand.
-
E.
EverBank
EverBank is a U.S.-based financial institution best known for its banking and lending services and for holding naming rights to major sports venues.
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e91c045c81908a9024a8aee32f4d |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4cc69402c8190be8785f892a41c7b |
completed | April 19, 2026, 12:36 p.m. |
Created at: April 8, 2026, 9:31 p.m.