Triple
T22797146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Molnar |
E564279
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Molner |
—
|
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: Molner | Statement: [Molnar, hasVariant, Molner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Molner Context triple: [Molnar, hasVariant, Molner]
-
A.
Molnar
chosen
Molnar is a Hungarian surname commonly borne by individuals of Hungarian origin or descent.
-
B.
Moler
Moler is a surname most notably associated with Cleve Moler, the American mathematician and computer scientist who co-created MATLAB.
-
C.
Modrow
Modrow is a German surname most notably associated with Hans Modrow, the last communist premier of East Germany.
-
D.
Marloffstein
Marloffstein is a small municipality in the Erlangen-Höchstadt district of Bavaria, Germany, known for its rural character and proximity to the city of Erlangen.
-
E.
Molinsky
Molinsky is the birth surname of American comedian and television host Joan Rivers, who was born Joan Alexandra Molinsky.
- 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_69e2458185f88190b0045227ee420411 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cd9b3c0819096050f43a829ec0d |
completed | April 29, 2026, 3:36 a.m. |
Created at: April 17, 2026, 3:30 p.m.