Triple
T8318606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noah Webster |
E194770
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Webster |
E194770
|
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: Webster | Statement: [Noah Webster, familyName, Webster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Webster Context triple: [Noah Webster, familyName, Webster]
-
A.
Webster
chosen
Webster is a common English surname most famously associated with American lexicographer Noah Webster, whose name is linked to influential early American dictionaries.
-
B.
Merriam
Merriam is a surname most notably associated with American zoologist and ethnographer Clinton Hart Merriam.
-
C.
Merriam
Merriam is a small suburban city in Johnson County, Kansas, within the Kansas City metropolitan area.
-
D.
An American Dictionary of the English Language
An American Dictionary of the English Language is Noah Webster’s landmark 1828 dictionary that helped standardize American English spelling and usage.
-
E.
Merriam-Webster
Merriam-Webster is a renowned American publisher best known for its authoritative dictionaries and other English language reference works.
- 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_69cd9596891c81909296050d0a8117ca |
completed | April 1, 2026, 10 p.m. |
Created at: March 30, 2026, 5:55 p.m.