Triple
T12481712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brent |
E298322
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Brenton |
E188066
|
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: Brenton | Statement: [Brent, hasVariant, Brenton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brenton Context triple: [Brent, hasVariant, Brenton]
-
A.
Brentson
Brentson is a masculine given name most notably borne by former NFL defensive tackle and coach Brentson Buckner.
-
B.
Brendon
chosen
Brendon is a given name, typically a variant spelling of Brendan, used for males in English-speaking countries.
-
C.
Brannan
Brannan is a surname of English and Irish origin borne by various notable individuals, including American politician Charles F. Brannan.
-
D.
Jayton
Jayton is a small rural town in West Texas that serves as the administrative and commercial hub of Kent County.
-
E.
Dawson
Dawson is a small rural township located within Ontario’s Rainy River District in Canada.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dcef6548190a6d29375bdabd17d |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f29307c8190b024d889d45ba9f7 |
completed | May 2, 2026, 6:15 p.m. |
Created at: April 8, 2026, 9:56 p.m.