Triple
T11267504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hiram Sibley |
E266724
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Western Union |
E42198
|
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: Western Union | Statement: [Hiram Sibley, employer, Western Union]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Western Union Context triple: [Hiram Sibley, employer, Western Union]
-
A.
Western Union
chosen
Western Union is a major American financial services and communications company best known for its historic telegraph network and global money transfer services.
-
B.
MoneyGram
MoneyGram is a global money transfer and payment services company that enables consumers and businesses to send and receive funds internationally, similar to Western Union.
-
C.
Worldpac
Worldpac is a wholesale distributor specializing in original equipment and high-quality aftermarket automotive replacement parts, serving professional repair shops and service centers.
-
D.
Exchange Fund
The Exchange Fund is Hong Kong’s sovereign wealth and reserve fund used to manage the territory’s foreign exchange reserves and support the stability of its financial and monetary systems.
-
E.
Aaron Bank
Aaron Bank was a U.S. Army officer and World War II veteran widely regarded as the "Father of the Green Berets" for his pivotal role in creating and shaping the Army Special Forces.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e94e5e3c8190a31995d55d20d7ed |
completed | April 9, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ccd52c20819093e03bba2fd359b7 |
completed | April 19, 2026, 12:38 p.m. |
Created at: April 8, 2026, 9:31 p.m.