Triple
T3864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hudson River |
E73
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Henry Hudson |
E525
|
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 Hudson | Statement: [Hudson River, namedAfter, Henry Hudson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henry Hudson Context triple: [Hudson River, namedAfter, Henry Hudson]
-
A.
Henry Hudson
chosen
Henry Hudson was an English sea explorer and navigator of the early 17th century best known for his voyages in search of a northwest passage and for lending his name to the Hudson River and Hudson Bay.
-
B.
Edwin
Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
-
C.
Harold Hazen
Harold Hazen was an American electrical engineer and MIT professor known for his pioneering work in control systems and his role in developing early analog computing devices.
-
D.
John Harvard
John Harvard was a 17th-century English clergyman and benefactor whose substantial bequest helped establish the institution that became Harvard University.
-
E.
Pierre Charles L’Enfant
Pierre Charles L’Enfant was a French-born American architect and civil engineer best known for creating the original plan for the city of Washington, D.C.
- 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_69a238d6b47881909e68288aed2fd858 |
completed | Feb. 28, 2026, 12:37 a.m. |
| NER | Named-entity recognition | batch_69a2399c646c8190b4977ed56b8835a8 |
completed | Feb. 28, 2026, 12:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a243c6f10c81908305b9e03c79a6ae |
completed | Feb. 28, 2026, 1:24 a.m. |
Created at: Feb. 28, 2026, 12:40 a.m.