Triple
T18267127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthew Sadler |
E437512
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Matthew Sadler |
—
|
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: Matthew Sadler | Statement: [Matthew Sadler, name, Matthew Sadler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Sadler Context triple: [Matthew Sadler, name, Matthew Sadler]
-
A.
Matthew Sadler
chosen
Matthew Sadler is an English chess grandmaster known both for his over-the-board successes and his influential writings on computer-assisted chess analysis.
-
B.
Andrew Strickland
Andrew Strickland is a person notable enough to be recognized as a bearer of the Strickland surname.
-
C.
Lee Strafford
Lee Strafford is a British entrepreneur best known as the co-founder and former CEO of the UK internet service provider Plusnet.
-
D.
Michael Wetherall
Michael Wetherall is a central character in John Stephens' fantasy series "The Books of Beginning," playing a key role in the magical adventures that drive the story.
-
E.
Ian Slater
Ian Slater is a film editor best known for his work on major feature films, including entries in the Twilight Saga.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ff7bda5c8190a5a85f3cfb7aa4ef |
completed | April 19, 2026, 4:14 p.m. |
Created at: April 10, 2026, 10:34 a.m.