Triple
T19788620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berger |
E475344
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Bergeron |
—
|
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: Bergeron | Statement: [Berger, hasVariant, Bergeron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bergeron Context triple: [Berger, hasVariant, Bergeron]
-
A.
Bergeron
chosen
Bergeron is a French-origin surname borne by various notable individuals in entertainment, sports, and other fields.
-
B.
Bergeron-Cleary
Bergeron-Cleary is the hyphenated family name of retired Boston Bruins captain and multi-time Selke Trophy winner Patrice Bergeron.
-
C.
Boulger
Boulger is a surname, likely a variant spelling of Bulger, borne by various individuals of Irish or British origin.
-
D.
Taillibert
Taillibert is a French surname most notably associated with architect Roger Taillibert, known for designing major sports complexes such as Montreal's Olympic Stadium.
-
E.
Louvain Demps
Louvain Demps is an American singer best known as a member of The Andantes, the prominent Motown backing vocal group that appeared on numerous classic soul and R&B recordings.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65389c9ac81909e61b3cbb9213e72 |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:49 p.m.