Triple
T2999363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kœnig |
E81148
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Koenig |
E81148
|
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: Koenig | Statement: [Kœnig, hasVariant, Koenig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koenig Context triple: [Kœnig, hasVariant, Koenig]
-
A.
Kœnig
chosen
Kœnig is a French surname most notably associated with figures such as General Marie-Pierre Kœnig, a prominent military leader during World War II.
-
B.
König
König is a German-language surname borne by numerous individuals, including notable figures in fields such as religion, science, and the arts.
-
C.
Prinz
Prinz is a German surname borne by various notable individuals, including figures in politics, religion, and the arts.
-
D.
Heinrici
Heinrici is a German surname most notably associated with Gotthard Heinrici, a senior Wehrmacht general during World War II.
-
E.
Kron
Kron is the surname of Lisa Kron, an American playwright and actress known for works like the Tony Award-winning musical "Fun Home."
- 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_69ad8b187fc8819085914d3c9ea3142d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99f8eb248190b50fd539a06a5a62 |
completed | March 8, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e468db4819094fb7badbd48ce1e |
completed | March 11, 2026, 8:56 a.m. |
Created at: March 8, 2026, 2:59 p.m.