Triple
T21055653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Watson |
E518703
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | William Watson |
—
|
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: William Watson | Statement: [William Watson, name, William Watson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Watson Context triple: [William Watson, name, William Watson]
-
A.
William Watson
William Watson was an 18th-century English physician and natural philosopher noted for his pioneering experiments and writings on electricity.
-
B.
Richard Rathbone
Richard Rathbone is a historian known for his scholarship on African history, particularly the political and social history of Ghana.
-
C.
Sir William Watson
Sir William Watson was an English poet of the late 19th and early 20th centuries, noted for his formal style and politically engaged verse.
-
D.
Cornelius Sherlock
Cornelius Sherlock was a British architect best known for designing prominent public buildings such as the Walker Art Gallery in Liverpool.
-
E.
Bertram Potts
Bertram Potts is a shy, scholarly linguistics professor who becomes the unlikely romantic partner of nightclub singer Sugarpuss O'Shea in the classic film "Ball of Fire."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69e0b5053ac48190921529544959e906 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fd7fc5c48190bdc4d75ab6a529a3 |
completed | April 21, 2026, 4:30 a.m. |
Created at: April 16, 2026, 2:37 p.m.