Triple
T15977850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E Corp |
E387493
|
entity |
| Predicate | hasDivision |
P35
|
FINISHED |
| Object | E Corp Bank |
E387493
|
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: E Corp Bank | Statement: [E Corp, hasDivision, E Corp Bank]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: E Corp Bank Context triple: [E Corp, hasDivision, E Corp Bank]
-
A.
MCorp Bank
MCorp Bank was a major Texas-based banking institution that grew rapidly in the 1980s before collapsing during the savings and loan crisis and being largely acquired by Bank One.
-
B.
Cornèr Bank
Cornèr Bank is a Swiss private bank based in Lugano, known for its banking, wealth management, and payment card services.
-
C.
C-Bank
C-Bank is an American freestyle and dance music artist best known for the 1983 club hit "One More Shot."
-
D.
E Corp
chosen
E Corp is the powerful, corrupt multinational conglomerate that serves as the main corporate antagonist in the television series "Mr. Robot."
-
E.
Orange Bank
Orange Bank is a French mobile-first digital bank offering online banking and financial services under the Orange telecommunications brand.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157521f6c8190a54023b5ee6fc033 |
completed | April 16, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3c76c988190a2f2bb4b6ac5ef25 |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:54 a.m.