Triple
T17411399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stedman Graham |
E423370
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Stedman |
—
|
NE NERFINISHED |
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: Stedman | Statement: [Stedman Graham, givenName, Stedman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stedman Context triple: [Stedman Graham, givenName, Stedman]
-
A.
Stedman
chosen
Stedman is a masculine given name most widely recognized through Stedman Graham, the American educator, author, and longtime partner of Oprah Winfrey.
-
B.
Hillegas
Hillegas is a surname most notably associated with Michael Hillegas, the first Treasurer of the United States.
-
C.
Paton
Paton is a surname and given name of Scottish origin, used by various notable individuals in fields such as sports, politics, and the arts.
-
D.
Gilman
Gilman is a surname most notably associated with Daniel Coit Gilman, a pioneering American educator and first president of Johns Hopkins University.
-
E.
Stoddart
Stoddart is a Scottish surname most notably associated with Sir Fraser Stoddart, the Nobel Prize–winning chemist recognized for his work on molecular machines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b0b56788190ba012788f32afb78 |
completed | April 19, 2026, 2:16 a.m. |
Created at: April 10, 2026, 5:46 a.m.