Triple
T16453683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthews |
E399617
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | James Matthews |
E784679
|
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: James Matthews | Statement: [Matthews, hasNotableBearer, James Matthews]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Matthews Context triple: [Matthews, hasNotableBearer, James Matthews]
-
A.
James Matthews
James Matthews was a prominent 19th-century Scottish architect known for designing significant public buildings, particularly in Aberdeen.
-
B.
James Matthews
chosen
James Matthews is a British former professional racing driver turned hedge fund manager who is married to Pippa Middleton, the sister of Catherine, Princess of Wales.
-
C.
Carl Mathews
Carl Mathews is an actor known for his role in the film "Dangerous Passage."
-
D.
William Mathews
William Mathews was a 19th-century British mountaineer notable for pioneering ascents in the Alps.
-
E.
Mathew Caldwell
Mathew Caldwell was a 19th-century Texas figure, known as a soldier and political leader during the era of the Texas Revolution.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ce259d88190803930051409d72c |
completed | April 18, 2026, 7:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a005815efc48190868305f428cb9085 |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:10 a.m.