Triple
T10625423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hughes Amendment |
E250309
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | William J. Hughes |
E881668
|
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: William J. Hughes | Statement: [Hughes Amendment, namedAfter, William J. Hughes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William J. Hughes Context triple: [Hughes Amendment, namedAfter, William J. Hughes]
-
A.
William J. Hughes
chosen
William J. Hughes was a U.S. Congressman from New Jersey best known for his work on firearms legislation and criminal justice issues.
-
B.
William Bulkeley Hughes
William Bulkeley Hughes was a 19th-century British politician who served as a long-standing Member of Parliament for the Welsh constituency of Caernarvon Boroughs.
-
C.
Raymond O. Barton
Raymond O. Barton was a U.S. Army major general in World War II who commanded the 4th Infantry Division during the Normandy invasion and subsequent European campaigns.
-
D.
John T. Towers
John T. Towers was a 19th-century American printer and politician who served as mayor of Washington, D.C.
-
E.
William N. Hubbard Jr.
William N. Hubbard Jr. was a prominent American figure in industrial research and innovation, recognized for his significant contributions to advancing research management and technology development.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df80a30c81909f36fe221cf68822 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de22473bc08190a28558dfdade9f17 |
completed | April 14, 2026, 11:17 a.m. |
Created at: April 8, 2026, 8:54 p.m.