Triple
T8476395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vytautas the Great |
E200403
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Juliana Olshanska
Juliana Olshanska was a Lithuanian noblewoman of the Olshanski family who became Grand Duchess of Lithuania as the wife of Grand Duke Vytautas the Great.
|
E740456
|
NE FINISHED |
How this triple was built (4 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: Juliana Olshanska | Statement: [Vytautas the Great, spouse, Juliana Olshanska]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juliana Olshanska Context triple: [Vytautas the Great, spouse, Juliana Olshanska]
-
A.
Marina Chapelin
Marina Chapelin is a coastal marina in Varadero, Cuba, serving as a docking and service hub for recreational boats and yachts.
-
B.
Sophia Danko
Sophia Danko is a young art student and one of the central protagonists in Nicholas Sparks' romance novel "The Longest Ride."
-
C.
Tatiana S. Riegel
Tatiana S. Riegel is an American film editor known for her acclaimed work on features such as "I, Tonya" and numerous independent and studio films.
-
D.
Alexandra Yatsko
Alexandra Yatsko is a film producer known for her work on the documentary "Love, Antosha."
-
E.
Tatiana Schlossberg
Tatiana Schlossberg is an American journalist and author, known for her environmental reporting and as a member of the Kennedy family.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Juliana Olshanska Triple: [Vytautas the Great, spouse, Juliana Olshanska]
Generated description
Juliana Olshanska was a Lithuanian noblewoman of the Olshanski family who became Grand Duchess of Lithuania as the wife of Grand Duke Vytautas the Great.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Juliana Olshanska Target entity description: Juliana Olshanska was a Lithuanian noblewoman of the Olshanski family who became Grand Duchess of Lithuania as the wife of Grand Duke Vytautas the Great.
-
A.
Marina Chapelin
Marina Chapelin is a coastal marina in Varadero, Cuba, serving as a docking and service hub for recreational boats and yachts.
-
B.
Sophia Danko
Sophia Danko is a young art student and one of the central protagonists in Nicholas Sparks' romance novel "The Longest Ride."
-
C.
Tatiana S. Riegel
Tatiana S. Riegel is an American film editor known for her acclaimed work on features such as "I, Tonya" and numerous independent and studio films.
-
D.
Alexandra Yatsko
Alexandra Yatsko is a film producer known for her work on the documentary "Love, Antosha."
-
E.
Tatiana Schlossberg
Tatiana Schlossberg is an American journalist and author, known for her environmental reporting and as a member of the Kennedy family.
- F. None of above. chosen
Provenance (5 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_69ca831b17988190a1f3f3413d57b820 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe51e21548190811e3c7ba7b196e5 |
completed | March 31, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d019b748190a972ae32a56523c0 |
completed | April 2, 2026, 1:20 p.m. |
| NEDg | Description generation | batch_69ce6e66c5e48190badcc5e075892006 |
completed | April 2, 2026, 1:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce6f0cc434819089e78d24dfee5361 |
completed | April 2, 2026, 1:28 p.m. |
Created at: March 30, 2026, 6:12 p.m.