Triple
T11457756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terézia Mora |
E271573
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Terézia |
E271573
|
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: Terézia | Statement: [Terézia Mora, givenName, Terézia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terézia Context triple: [Terézia Mora, givenName, Terézia]
-
A.
Terézia
chosen
Terézia is the given name of the Hungarian-born German writer and translator Terézia Mora, known for her award-winning novels and screenplays.
-
B.
Josepha
Josepha is the given name of Maria Josepha Amalia of Saxony, a 19th-century Saxon princess who became Queen consort of Spain as the third wife of King Ferdinand VII.
-
C.
Agnes of Bohemia
Agnes of Bohemia was a medieval Bohemian princess and member of the Přemyslid dynasty, known primarily as the daughter of King Wenceslaus II of Bohemia.
-
D.
Mária
Mária is the Hungarian and Slovak form of the given name Mary, commonly used in Central and Eastern Europe.
-
E.
Hedvig
Hedvig is a Scandinavian female given name, historically borne by several notable women in Swedish and broader Nordic royalty and nobility.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d81c71b1208190be1d5623d18e0222 |
completed | April 9, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee866bb71c819091573965f7cf0dee |
completed | April 26, 2026, 9:40 p.m. |
Created at: April 8, 2026, 9:35 p.m.