Triple
T11407706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Appleton |
E270280
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Samuel Appleton |
E903256
|
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: Samuel Appleton | Statement: [Appleton, hasNotableBearer, Samuel Appleton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samuel Appleton Context triple: [Appleton, hasNotableBearer, Samuel Appleton]
-
A.
Samuel Appleton
chosen
Samuel Appleton was a 17th-century Massachusetts military officer and colonial leader known for his role in King Philip’s War.
-
B.
Nathan Appleton
Nathan Appleton was a prominent 19th-century American merchant, industrialist, and politician who played a key role in the early textile industry in New England.
-
C.
Samuel Dracott
Samuel Dracott is an individual whose name appears in records with the variant spelling "Samuel Dracutt."
-
D.
Samuel Mayes
Samuel Mayes was an American cellist renowned for his orchestral and chamber music performances in the mid-20th century.
-
E.
Martin Holbrook
Martin Holbrook is a person notable enough to be recognized as a bearer of the surname Holbrook.
- 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8014e72748190a01bde2f0105cedb |
completed | April 9, 2026, 7:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5b834cee48190ac09c1e1df4c12d0 |
completed | April 20, 2026, 5:23 a.m. |
Created at: April 8, 2026, 9:34 p.m.