Triple
T9112208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bengt |
E218628
|
entity |
| Predicate | hasCognate |
P2525
|
FINISHED |
| Object | Benedikt |
E42638
|
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: Benedikt | Statement: [Bengt, hasCognate, Benedikt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benedikt Context triple: [Bengt, hasCognate, Benedikt]
-
A.
Benedetto
Benedetto is the Italian form of the given name Benedict, traditionally associated with blessings and several notable religious and historical figures.
-
B.
Norbertus
Norbertus is a Latinized form of the given name Norbert, historically used in ecclesiastical and scholarly contexts.
-
C.
Benedict
chosen
Benedict is a masculine given name of Latin origin, most famously borne in modern times by the British actor Benedict Cumberbatch.
-
D.
Joachim
Joachim is a masculine given name of Hebrew origin, commonly used in German-speaking and other European countries.
-
E.
Bruno of Egisheim-Dagsburg
Bruno of Egisheim-Dagsburg was a German nobleman and church reformer who became Pope Leo IX, a leading figure of the 11th-century Gregorian Reform movement.
- 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8495c448190b9bb3803fb2dda70 |
completed | April 1, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d07758ce3c819088e78674a7da5a06 |
completed | April 4, 2026, 2:28 a.m. |
Created at: March 30, 2026, 7:16 p.m.