Triple
T3363709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bertrando |
E70783
|
entity |
| Predicate | etymologicalRelation |
P2530
|
FINISHED |
| Object | Bertrand |
E11918
|
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: Bertrand | Statement: [Bertrando, etymologicalRelation, Bertrand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bertrand Context triple: [Bertrando, etymologicalRelation, Bertrand]
-
A.
Bertrand
chosen
Bertrand is a masculine given name most famously associated with the British philosopher, logician, and Nobel laureate Bertrand Russell.
-
B.
Bertrand-Jean
Bertrand-Jean is the birth name of the French Symbolist painter and printmaker better known as Odilon Redon.
-
C.
Honoré
Honoré is the given name of the renowned 19th-century French novelist and playwright Honoré de Balzac.
-
D.
Bertrando
Bertrando is an Italian given name and surname, historically borne by several notable figures including nobles and churchmen.
-
E.
Lebrun
Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
- 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_69ad85a660c48190998489309a3b4869 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb28467b88190bdf70b851bc8efa9 |
completed | March 8, 2026, 5:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b32549eb9c81908c3a525da9eab0aa |
completed | March 12, 2026, 8:42 p.m. |
Created at: March 8, 2026, 3:13 p.m.