Triple
T3809153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mici Mária Harkányi |
E93087
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Augusta Maria Harkányi |
E93087
|
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: Augusta Maria Harkányi | Statement: [Mici Mária Harkányi, birthName, Augusta Maria Harkányi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Augusta Maria Harkányi Context triple: [Mici Mária Harkányi, birthName, Augusta Maria Harkányi]
-
A.
Mici Mária (Augusta Maria) Harkányi
chosen
Mici Mária (Augusta Maria) Harkányi was the wife of Hungarian-American physicist Edward Teller, known for supporting him throughout his scientific and political career.
-
B.
Katalin
Katalin is a Hungarian given name most prominently associated with biochemist Katalin Karikó, a pioneer of mRNA technology used in COVID-19 vaccines.
-
C.
Hedwig Miklas
Hedwig Miklas was the wife of Austrian President Wilhelm Miklas and served as Austria’s First Lady during his tenure in office.
-
D.
Cornelia Demény
Cornelia Demény was the wife of Nobel Prize–winning Hungarian physiologist Albert Szent-Györgyi.
-
E.
Eva König
Eva König was the wife of German Enlightenment writer Gotthold Ephraim Lessing and is known primarily through her correspondence with him, which offers insight into his personal life and work.
- 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_69aed96a60088190ab1df8390fffc935 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aee80c7fc48190b5c2400918bba5c2 |
completed | March 9, 2026, 3:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb33db9c81908b462ee80aaaad34 |
completed | March 14, 2026, 6:07 a.m. |
Created at: March 9, 2026, 3:16 p.m.