Triple
T6914580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deborah Hopkins |
E160017
|
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: [Deborah Hopkins, familyName, Hopkins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hopkins Context triple: [Deborah Hopkins, 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.
University Hill
University Hill is a notable elevated landform located within Agate Fossil Beds National Monument in Nebraska, known for its rich fossil deposits and geological significance.
- 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_69c6883ab1008190a07129ff06f625d9 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9dda4108190a79a7841b0658a4d |
completed | March 27, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7491116448190b9945e5a53056cb9 |
completed | March 28, 2026, 3:20 a.m. |
Created at: March 27, 2026, 2:26 p.m.