Triple
T7608885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newes from America |
E172180
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | John Underhill |
E32049
|
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: John Underhill | Statement: [Newes from America, author, John Underhill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Underhill Context triple: [Newes from America, author, John Underhill]
-
A.
John Underhill
chosen
John Underhill was a 17th-century English colonial soldier and militia leader in New England, known for his prominent and controversial role in early Native American conflicts.
-
B.
John Underhill
John Underhill is a distinguished geologist recognized for his significant contributions to the earth sciences, for which he received the prestigious William Smith Medal.
-
C.
Zacharias Underhill
Zacharias Underhill is an individual notable enough to be recognized as a distinguished bearer of the surname Underhill.
-
D.
William Underhill
William Underhill is a name shared by several notable individuals, including historical figures and professionals in fields such as law, academia, and the arts.
-
E.
Edward Shearmur
Edward Shearmur is a British film composer known for his orchestral scores for a wide range of Hollywood movies and television projects.
- 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_69c6994f50808190ba228764bb422417 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa1f6e888190ac6580724803fbc3 |
completed | March 27, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8ac8a4e2c81909b8038b2da8e806d |
completed | March 29, 2026, 4:37 a.m. |
Created at: March 27, 2026, 3:54 p.m.