Triple
T6361326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel Crompton |
E143114
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Crompton |
E143114
|
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: Crompton | Statement: [Samuel Crompton, familyName, Crompton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crompton Context triple: [Samuel Crompton, familyName, Crompton]
-
A.
Crompton
chosen
Crompton is an English surname most notably associated with Samuel Crompton, the inventor of the spinning mule that revolutionized textile manufacturing during the Industrial Revolution.
-
B.
Eaton’s
Eaton’s was a major Canadian department store chain that became a retail icon and helped shape downtown shopping districts across the country.
-
C.
Eaton
Eaton is a surname most notably associated with American decathlete and Olympic gold medalist Ashton Eaton.
-
D.
Eaton
Eaton is the namesake of the Eaton Professor of the Science of Government at Harvard University, an endowed academic chair in political science and government studies.
-
E.
Sunbeam
Sunbeam is a well-known consumer brand specializing in household appliances and home comfort products, owned by Newell Brands.
- 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_69c008d7a9c4819098d647ec47776917 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067fa0d0c819098d01545849142fc |
completed | March 22, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62d6d906481908b5883bff18ceec8 |
completed | March 27, 2026, 7:10 a.m. |
Created at: March 22, 2026, 4:32 p.m.