Triple
T554761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bertrand |
E11918
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Bertrandus |
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: Bertrandus | Statement: [Bertrand, relatedName, Bertrandus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bertrandus Context triple: [Bertrand, relatedName, Bertrandus]
-
A.
Bertrand
chosen
Bertrand is a masculine given name most famously associated with the British philosopher, logician, and Nobel laureate Bertrand Russell.
-
B.
Bertrando
Bertrando is an Italian given name and surname, historically borne by several notable figures including nobles and churchmen.
-
C.
Louis Appia
Louis Appia was a 19th-century Swiss surgeon and humanitarian pioneer who helped establish the principles and institutions that became the modern Red Cross movement.
-
D.
Dorotheus
Dorotheus was a 6th-century Byzantine jurist who helped systematize and codify Roman law under Emperor Justinian I.
-
E.
René
René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
- 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_69a4932941d08190815efd422f0b4ca7 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4991c524481908b2bb88c4feabec6 |
completed | March 1, 2026, 7:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4efcc641c8190b9538069fa88db94 |
completed | March 2, 2026, 2:02 a.m. |
Created at: March 1, 2026, 7:32 p.m.