Triple
T20616850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Sykes |
E506589
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | George Sykes |
—
|
NE NERFINISHED |
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: George Sykes | Statement: [George Sykes, fullName, George Sykes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Sykes Context triple: [George Sykes, fullName, George Sykes]
-
A.
George Sykes
chosen
George Sykes was a United States Army officer and Union general during the American Civil War, best known for commanding the V Corps in the Army of the Potomac.
-
B.
Richard Sykes
Richard Sykes is a British biochemist and pharmaceutical executive who became a prominent academic leader as head of major institutions including Imperial College London.
-
C.
Grant Sykes
Grant Sykes is the protagonist of the fantasy novel "The Kingdom," around whom the story’s central conflicts and character development revolve.
-
D.
George Dilboy
George Dilboy was a Greek-American U.S. Army soldier and Medal of Honor recipient recognized for his heroism during World War I.
-
E.
George Pearis
George Pearis was an early settler and landowner in what is now Giles County, Virginia, whose prominence in the area led to the town of Pearisburg being named in his honor.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aadd30b88190af3a05527ad5ac64 |
completed | April 20, 2026, 10:38 p.m. |
Created at: April 16, 2026, 11:41 a.m.