Triple
T3630407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burnett |
E76940
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Burnette |
E76940
|
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: Burnette | Statement: [Burnett, hasVariant, Burnette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burnette Context triple: [Burnett, hasVariant, Burnette]
-
A.
Bornette
Bornette is a small river in southeastern France that serves as one of the main tributary inflows to Lake Annecy.
-
B.
Burnett
chosen
Burnett is a surname most famously associated with American comedian and actress Carol Burnett, a pioneering figure in television sketch comedy.
-
C.
Burnet
Burnet is the middle name of William Burnet Tuthill, the American architect best known for designing New York’s Carnegie Hall.
-
D.
Vonetta
Vonetta is a feminine given name most notably borne by American bobsledder and Olympic gold medalist Vonetta Flowers.
-
E.
Rue Bennett
Rue Bennett is the troubled, drug-addicted teenage protagonist of the television series "Euphoria," known for her raw, introspective narration and complex emotional struggles.
- 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_69ad85dc03948190b35b7189e4175bcc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc300223881909019982ebf194f78 |
completed | March 8, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f12c2608190bd0eb25c9df97ec6 |
completed | March 13, 2026, 5:53 p.m. |
Created at: March 8, 2026, 3:23 p.m.