Triple
T4258397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stedman Graham |
E96038
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Stedman
Stedman is a masculine given name most widely recognized through Stedman Graham, the American educator, author, and longtime partner of Oprah Winfrey.
|
E423370
|
NE FINISHED |
How this triple was built (4 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.
Hillegas
Hillegas is a surname most notably associated with Michael Hillegas, the first Treasurer of the United States.
-
B.
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.
-
C.
Stevens
Stevens is a common English-language surname borne by numerous notable individuals across fields such as sports, politics, arts, and academia.
-
D.
Thayer
Thayer is the namesake of Oregon’s Thayer Glacier, likely an individual commemorated for their regional or exploratory significance.
-
E.
Aylmer
Aylmer is a former city in western Quebec, Canada, now a sector of Gatineau, known for its historic waterfront and residential character along the Ottawa River.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Stedman Triple: [Stedman Graham, givenName, Stedman]
Generated description
Stedman is a masculine given name most widely recognized through Stedman Graham, the American educator, author, and longtime partner of Oprah Winfrey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stedman Target entity description: Stedman is a masculine given name most widely recognized through Stedman Graham, the American educator, author, and longtime partner of Oprah Winfrey.
-
A.
Hillegas
Hillegas is a surname most notably associated with Michael Hillegas, the first Treasurer of the United States.
-
B.
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.
-
C.
Stevens
Stevens is a common English-language surname borne by numerous notable individuals across fields such as sports, politics, arts, and academia.
-
D.
Thayer
Thayer is the namesake of Oregon’s Thayer Glacier, likely an individual commemorated for their regional or exploratory significance.
-
E.
Aylmer
Aylmer is a former city in western Quebec, Canada, now a sector of Gatineau, known for its historic waterfront and residential character along the Ottawa River.
- F. None of above. chosen
Provenance (5 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_69b34f7ec4508190a5067f1112ac7dca |
completed | March 12, 2026, 11:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a88d3bf48190b26eb8ab848d320e |
completed | March 14, 2026, 6:27 p.m. |
| NEDg | Description generation | batch_69b5a917d4a88190864441f95706964e |
completed | March 14, 2026, 6:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5a96967ec8190aa86e735808211fd |
completed | March 14, 2026, 6:31 p.m. |
Created at: March 12, 2026, 11:06 p.m.