Triple
T12143611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empress Elisabeth of Austria |
E289257
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Sisi |
E289257
|
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: Sisi | Statement: [Empress Elisabeth of Austria, nickname, Sisi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sisi Context triple: [Empress Elisabeth of Austria, nickname, Sisi]
-
A.
Empress Elisabeth of Austria
chosen
Empress Elisabeth of Austria, commonly known as "Sisi," was the 19th-century Empress consort of Austria and Queen of Hungary renowned for her beauty, independent spirit, and tragic assassination.
-
B.
Elisabeta
Elisabeta is a given name used in various European languages, corresponding to the English name Elizabeth.
-
C.
Helena of Austria
Helena of Austria was a lesser-known member of the Habsburg royal family, belonging to the Austrian branch of this influential European dynasty.
-
D.
Sheshi Nënë Tereza
Sheshi Nënë Tereza is a major public square in Tirana, Albania, named in honor of Mother Teresa and known for its prominent civic and cultural buildings.
-
E.
Terézia
Terézia is the given name of the Hungarian-born German writer and translator Terézia Mora, known for her award-winning novels and screenplays.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915aacaa08190b31f54e230334406 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f69501348190a9ac090c7db37c20 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:49 p.m.