Triple
T571566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles |
E13673
|
entity |
| Predicate | isCognateOf |
P2527
|
FINISHED |
| Object | Karel |
E71855
|
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: Karel | Statement: [Charles, isCognateOf, Karel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karel Context triple: [Charles, isCognateOf, Karel]
-
A.
Karel
chosen
Karel is a given name, commonly used in Central and Eastern Europe, that corresponds to the English name Charles.
-
B.
Karl
Karl is the given first name of Charles Proteus Steinmetz, the renowned German-American mathematician and electrical engineer who revolutionized the understanding of alternating current systems.
-
C.
Karl
Karl is the given name of German Field Marshal Gerd von Rundstedt, a prominent military leader during World War II.
-
D.
Karol
Karol is the given name of Pope John Paul II, the Polish-born head of the Catholic Church from 1978 to 2005.
-
E.
Emil
Emil is the given name of Carl Gustaf Emil Mannerheim, the renowned Finnish military leader and statesman who served as President of Finland.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b483ac08190b3be152a7cf42011 |
completed | March 1, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5216c43148190961ff8cea8305b7e |
completed | March 2, 2026, 5:34 a.m. |
Created at: March 1, 2026, 7:33 p.m.