Triple
T8112368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wells College |
E189385
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Henry Wells |
E243478
|
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: Henry Wells | Statement: [Wells College, namedAfter, Henry Wells]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henry Wells Context triple: [Wells College, namedAfter, Henry Wells]
-
A.
Henry Wells
chosen
Henry Wells was a 19th-century American businessman and express pioneer who co-founded both American Express and Wells Fargo.
-
B.
Charles Burroughs
Charles Burroughs is an American historian and educator best known as a co-founder of Chicago’s DuSable Black History Museum and Education Center, one of the first independent Black history museums in the United States.
-
C.
Henry T. Hazard
Henry T. Hazard was a 19th-century American lawyer and politician who served as mayor of Los Angeles, California.
-
D.
George Wells
George Wells was an American screenwriter known for his work on classic Hollywood films, including several MGM musicals and comedies.
-
E.
Henry Miller Shreve
Henry Miller Shreve was a 19th-century American steamboat captain and engineer renowned for pioneering river navigation improvements on the Mississippi and Red Rivers.
- 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_69ca82baad008190ab2859712b9b1607 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb432d7dfc8190b9c980f32c7b4623 |
completed | March 31, 2026, 3:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbea5d39c819099d52545410ae564 |
completed | April 1, 2026, 6:43 a.m. |
Created at: March 30, 2026, 5:32 p.m.