Triple
T3080282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Pavlovna of Russia |
E64239
|
entity |
| Predicate | patronymicName |
P7966
|
FINISHED |
| Object |
Pavlovna
Pavlovna is a Russian patronymic indicating "daughter of Pavel," commonly used as the middle name of women in Russian naming tradition.
|
E351202
|
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: Pavlovna | Statement: [Anna Pavlovna of Russia, patronymicName, Pavlovna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pavlovna Context triple: [Anna Pavlovna of Russia, patronymicName, Pavlovna]
-
A.
Petrovna
Petrovna is a common Russian patronymic derived from the male given name Pyotr, typically meaning "daughter of Pyotr."
-
B.
Nikolaevna
Nikolaevna is a Russian patronymic indicating "daughter of Nikolai," famously borne by Grand Duchess Anastasia Nikolaevna of Russia.
-
C.
Natalia Petrovna
Natalia Petrovna was a Russian princess of the Romanov dynasty and sister of Empress Elizabeth of Russia.
-
D.
Nina Alexandrovna
Nina Alexandrovna was an actress known for her role in Sergei Eisenstein’s silent Soviet film "The General Line."
-
E.
Tatiana Nikolaevna
Tatiana Nikolaevna was the second daughter of Tsar Nicholas II of Russia and a Grand Duchess, remembered as one of the last members of the Romanov imperial family before their execution in 1918.
- 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: Pavlovna Triple: [Anna Pavlovna of Russia, patronymicName, Pavlovna]
Generated description
Pavlovna is a Russian patronymic indicating "daughter of Pavel," commonly used as the middle name of women in Russian naming tradition.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pavlovna Target entity description: Pavlovna is a Russian patronymic indicating "daughter of Pavel," commonly used as the middle name of women in Russian naming tradition.
-
A.
Petrovna
Petrovna is a common Russian patronymic derived from the male given name Pyotr, typically meaning "daughter of Pyotr."
-
B.
Nikolaevna
Nikolaevna is a Russian patronymic indicating "daughter of Nikolai," famously borne by Grand Duchess Anastasia Nikolaevna of Russia.
-
C.
Natalia Petrovna
Natalia Petrovna was a Russian princess of the Romanov dynasty and sister of Empress Elizabeth of Russia.
-
D.
Nina Alexandrovna
Nina Alexandrovna was an actress known for her role in Sergei Eisenstein’s silent Soviet film "The General Line."
-
E.
Tatiana Nikolaevna
Tatiana Nikolaevna was the second daughter of Tsar Nicholas II of Russia and a Grand Duchess, remembered as one of the last members of the Romanov imperial family before their execution in 1918.
- 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_69ad857bb4c88190a4cf27893fcabed8 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada1a9d61081909953eb2f4ad4537e |
completed | March 8, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b324da09888190b3ea7763d3a09d5d |
completed | March 12, 2026, 8:40 p.m. |
| NEDg | Description generation | batch_69b326960de48190abe69b3c140f4a4a |
completed | March 12, 2026, 8:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b327b13c9c8190b8c431ca2ae61ef9 |
completed | March 12, 2026, 8:53 p.m. |
Created at: March 8, 2026, 3:03 p.m.