Triple
T8318625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Webster |
E194770
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Noah Webster |
E37434
|
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: Noah Webster | Statement: [Webster, associatedWith, Noah Webster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noah Webster Context triple: [Webster, associatedWith, Noah Webster]
-
A.
Noah Webster
chosen
Noah Webster was an American lexicographer, grammarian, and language reformer best known for compiling the first major American dictionary of the English language.
-
B.
William Dwight Jr.
William Dwight Jr. was a Union Army general during the American Civil War, noted for his leadership in key engagements such as the Siege of Port Hudson.
-
C.
John Rand
John Rand was an early 20th-century film actor best known for his frequent supporting roles in Charlie Chaplin’s silent comedies.
-
D.
Samuel W. Johnson
Samuel W. Johnson was a 19th-century American chemist and agricultural scientist who played a key role in organizing the chemical profession in the United States.
-
E.
Eleazar Wheelock
Eleazar Wheelock was an 18th-century American Congregational minister and educator best known for establishing Dartmouth College in New Hampshire.
- 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_69ca82e6e2648190a31eaf6f4f757b2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f648e10819081ad1fed870b2b86 |
completed | March 31, 2026, 8:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc6f629a0819081635763192903d8 |
completed | April 2, 2026, 1:31 a.m. |
Created at: March 30, 2026, 5:55 p.m.