Triple
T4334567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sting |
E97433
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Sumner |
E53603
|
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: Sumner | Statement: [Sting, familyName, Sumner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sumner Context triple: [Sting, familyName, Sumner]
-
A.
Sumner
chosen
Sumner is a surname of English origin borne by various notable individuals, including American sociologist and classical liberal William Graham Sumner.
-
B.
Sumner
Sumner is a small city in Washington State known for its historic downtown, agricultural roots, and role as a suburban community within the Seattle–Tacoma metropolitan area.
-
C.
Shaughnessy
Shaughnessy is an affluent residential neighbourhood in Vancouver, British Columbia, known for its large heritage homes and tree-lined streets.
-
D.
Harlan
Harlan is a masculine given name of English origin, historically associated with figures such as U.S. Chief Justice Harlan F. Stone.
-
E.
Warren
Warren is a common English surname borne by numerous notable figures in politics, law, entertainment, and other fields.
- 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_69b3454662a481908fbcd0bbfaa3a0a4 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351516d488190b5b3d1936e3a325d |
completed | March 12, 2026, 11:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d0a9967481908828ceeb76ce4cbf |
completed | March 14, 2026, 9:18 p.m. |
Created at: March 12, 2026, 11:14 p.m.