Triple
T20989174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berthold |
E516971
|
entity |
| Predicate | hasCognate |
P2525
|
FINISHED |
| Object | Bertram |
—
|
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: Bertram | Statement: [Berthold, hasCognate, Bertram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bertram Context triple: [Berthold, hasCognate, Bertram]
-
A.
Bertram
chosen
Bertram is a masculine given name of Germanic origin, historically associated with nobility and later borne by various notable figures in arts, architecture, and literature.
-
B.
Bertram Ramsay
Bertram Ramsay was a British admiral who played a key role in planning and directing major Allied naval operations during World War II, including the Dunkirk evacuation and the D-Day landings.
-
C.
Eustace
Eustace is an English-language surname of likely Norman or medieval European origin, borne by various individuals and families.
-
D.
Eustace
Eustace is a masculine given name of Greek origin, historically associated with early Christian saints and medieval European usage.
-
E.
Bertram Raphael
Bertram Raphael is an American computer scientist and artificial intelligence pioneer known for his work in automated reasoning and early AI research at institutions such as SRI International.
- 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_69e0b4ffac148190bbade9f0eceb660b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fbe5f49c8190a5c031eceba9ebf7 |
completed | April 21, 2026, 4:24 a.m. |
Created at: April 16, 2026, 1:49 p.m.