Triple
T22797145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Molnar |
E564279
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Molnár |
—
|
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: Molnár | Statement: [Molnar, hasVariant, Molnár]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Molnár Context triple: [Molnar, hasVariant, Molnár]
-
A.
Molnar
chosen
Molnar is a Hungarian surname commonly borne by individuals of Hungarian origin or descent.
-
B.
Márton
Márton is a Hungarian given name, equivalent to the name Martin in other languages.
-
C.
Erdődy
Erdődy is the name of a historic Croatian-Hungarian noble family prominent in the politics and military affairs of the Habsburg Monarchy.
-
D.
Jávorszky
Jávorszky is a Hungarian surname associated with the birth family of silent film actress Vilma Bánky.
-
E.
András
András is the Hungarian given name of Andrew S. Grove, the influential former CEO and co-founder of Intel.
- 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.