Triple
T8318173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AIG |
E194757
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | AIG |
E194757
|
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: AIG | Statement: [AIG, shortName, AIG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AIG Context triple: [AIG, shortName, AIG]
-
A.
AIG
chosen
AIG (American International Group) is a global insurance and financial services corporation known for its extensive property-casualty, life insurance, and retirement products.
-
B.
Allianz
Allianz is a leading global financial services company, best known as one of the world’s largest insurance and asset management providers.
-
C.
Aon Corporation
Aon Corporation is a global professional services firm specializing in risk management, insurance brokerage, and human capital consulting.
-
D.
American Financial Group
American Financial Group is a large U.S. insurance and financial services holding company known for its specialty property and casualty insurance operations.
-
E.
Allstate
Allstate is a major American insurance company best known for its auto and home insurance services and its long-running national advertising campaigns.
- 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_69ca82e6e2648190a31eaf6f4f757b2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f630ea881909fb639383e60aee9 |
completed | March 31, 2026, 8:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc6f629a0819081635763192903d8 |
completed | April 2, 2026, 1:31 a.m. |
Created at: March 30, 2026, 5:55 p.m.