Triple
T15537579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mária |
E370388
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Mária (with no diacritics: Maria) |
E370388
|
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: Mária (with no diacritics: Maria) | Statement: [Mária, hasVariant, Mária (with no diacritics: Maria)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mária (with no diacritics: Maria) Context triple: [Mária, hasVariant, Mária (with no diacritics: Maria)]
-
A.
Mária
chosen
Mária is the Hungarian and Slovak form of the given name Mary, commonly used in Central and Eastern Europe.
-
B.
Marián
Marián is a masculine given name commonly used in Slovak and other Central European cultures.
-
C.
Maria Maria
"Maria Maria" is a Latin rock and R&B-influenced hit song by Santana featuring The Product G&B that became one of the defining tracks of the late 1990s and early 2000s.
-
D.
María
"María" is a film featuring actress Taryn Power in a significant role.
-
E.
María
María is a feminine given name of Hebrew origin, widely used in Spanish-speaking countries and associated with numerous historical and religious figures.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0442f3c688190a599165e526af2ed |
completed | April 16, 2026, 2:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d626e688190bd93481cfd6cb255 |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 4:06 a.m.