Triple
T4259355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Samuel Hopkins (fictional character) |
E96064
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hopkins |
E49177
|
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: Hopkins | Statement: [Dr. Samuel Hopkins (fictional character), familyName, Hopkins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hopkins Context triple: [Dr. Samuel Hopkins (fictional character), familyName, Hopkins]
-
A.
Hopkins
chosen
Hopkins is a common English and Welsh surname borne by numerous notable figures across politics, the arts, and academia.
-
B.
Hopkins
Hopkins is a small suburban city in Minnesota located just west of Minneapolis.
-
C.
Hopkin
Hopkin is a surname and given name of English and Welsh origin, often considered a variant of Hopkins.
-
D.
Kogod
Kogod is the business school of American University in Washington, D.C., offering undergraduate and graduate programs in business and management.
-
E.
Johns Hopkins
Johns Hopkins was a 19th-century American Quaker businessman, investor, and philanthropist whose bequests led to the creation of Johns Hopkins University and Johns Hopkins Hospital.
- 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_69b3454095ac81909c2494f7ff294af1 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34f7fe7348190baed8d214268b756 |
completed | March 12, 2026, 11:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b78825508190b2b6ca46c8e1b27c |
completed | March 14, 2026, 7:31 p.m. |
Created at: March 12, 2026, 11:06 p.m.