Triple
T3279011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Clarkson |
E68828
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Clarkson |
E161730
|
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: Clarkson | Statement: [Thomas Clarkson, familyName, Clarkson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clarkson Context triple: [Thomas Clarkson, familyName, Clarkson]
-
A.
Clarkson
chosen
Clarkson is the surname of American singer, songwriter, and television personality Kelly Clarkson, who rose to fame as the first winner of "American Idol."
-
B.
Blatch
Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
-
C.
Kean
Kean is a surname most prominently associated with Thomas H. Kean, the former governor of New Jersey and chair of the 9/11 Commission.
-
D.
Kean
Kean is a stage musical about the life of 19th-century English actor Edmund Kean, known for its dramatic exploration of theatrical fame and personal turmoil.
-
E.
Spencer
Spencer is a small town in central Massachusetts known for its New England character and historic mill village roots.
- 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_69ad859c463481909ca4be267336c290 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0155430819097c806ee407dc1e4 |
completed | March 8, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e84ddd24819094a47269023f9889 |
completed | March 12, 2026, 4:22 p.m. |
Created at: March 8, 2026, 3:10 p.m.