Triple
T6495336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dóra Maurer |
E148143
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Dóra Maurer |
E148143
|
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: Dóra Maurer | Statement: [Dóra Maurer, name, Dóra Maurer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dóra Maurer Context triple: [Dóra Maurer, name, Dóra Maurer]
-
A.
Kerli Kõiv
Kerli Kõiv is an Estonian singer-songwriter and producer known for her ethereal electropop style and visually distinctive, fairy-tale-inspired aesthetic.
-
B.
Márta Eggerth
Márta Eggerth was a Hungarian-born soprano and film actress renowned for her operetta performances in Europe and Hollywood during the 1930s and 1940s.
-
C.
Dora Maurer
chosen
Dora Maurer is a Hungarian conceptual artist and filmmaker known for her experimental works exploring perception, movement, and systems-based processes.
-
D.
Adele Balkan
Adele Balkan was a film costume designer known for her work on movies such as "Footloose."
-
E.
Mona Nörklit
Mona Nörklit is a Swedish television producer best known as the wife of ABBA musician Benny Andersson.
- 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_69c009088f3081909cd467b05919de30 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06ab958808190bd85e007e925ffc4 |
completed | March 22, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c653c21f948190989da451bc573b4d |
completed | March 27, 2026, 9:54 a.m. |
Created at: March 22, 2026, 4:53 p.m.