Triple
T7548268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bowman Coast |
E178460
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Isaiah Bowman |
E233325
|
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: Isaiah Bowman | Statement: [Bowman Coast, namedAfter, Isaiah Bowman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isaiah Bowman Context triple: [Bowman Coast, namedAfter, Isaiah Bowman]
-
A.
Isaiah Bowman
chosen
Isaiah Bowman was an influential American geographer and long-time director of the American Geographical Society, known for advising U.S. foreign policy and territorial decisions in the early 20th century.
-
B.
Ky Bowman
Ky Bowman is an American professional basketball player and former standout point guard for Boston College who has played in the NBA and overseas.
-
C.
Isaiah Edwards
Isaiah Edwards is a rugged, kind-hearted frontiersman and close family friend of the Ingalls in the "Little House on the Prairie" series.
-
D.
Joshua Bowman
Joshua Bowman is a British actor best known for his role as Daniel Grayson on the television drama series "Revenge."
-
E.
John Bryan Bowman
John Bryan Bowman was a 19th-century American educator and civic leader best known for establishing what would become the University of Kentucky.
- 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_69c69f2cbe08819088f9eb0c03ef529b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f89b9afc8190b3e61a8e2cea7ad7 |
completed | March 27, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f2b0de48190a854b4d4935c2254 |
completed | March 28, 2026, 9:59 p.m. |
Created at: March 27, 2026, 3:49 p.m.