Triple
T9101316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pelageya Nilovna Vlasova |
E218162
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Pelageya
Pelageya is a Russian singer renowned for her powerful folk-inspired vocals and performances that blend traditional music with contemporary styles.
|
E778187
|
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: Pelageya | Statement: [Pelageya Nilovna Vlasova, givenName, Pelageya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pelageya Context triple: [Pelageya Nilovna Vlasova, givenName, Pelageya]
-
A.
Klavdiya
Klavdiya is a feminine given name of Slavic origin, commonly used in Russian-speaking countries.
-
B.
Aloysya
Aloysya is a given name, typically a feminine variant of Aloysius, used in various cultures and languages.
-
C.
Praskovya
Praskovya is the given name of Pasha Angelina, a renowned Soviet female tractor driver and labor heroine.
-
D.
Tsarevna of Russia
Tsarevna of Russia was the traditional title given to the daughters or daughters-in-law of a Russian tsar, denoting their status as imperial princesses within the Romanov dynasty.
-
E.
Romeyka
Romeyka is an endangered Greek dialect spoken mainly in northeastern Turkey, notable for preserving many archaic features of Ancient Greek.
- 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: Pelageya Triple: [Pelageya Nilovna Vlasova, givenName, Pelageya]
Generated description
Pelageya is a Russian singer renowned for her powerful folk-inspired vocals and performances that blend traditional music with contemporary styles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pelageya Target entity description: Pelageya is a Russian singer renowned for her powerful folk-inspired vocals and performances that blend traditional music with contemporary styles.
-
A.
Klavdiya
Klavdiya is a feminine given name of Slavic origin, commonly used in Russian-speaking countries.
-
B.
Aloysya
Aloysya is a given name, typically a feminine variant of Aloysius, used in various cultures and languages.
-
C.
Praskovya
Praskovya is the given name of Pasha Angelina, a renowned Soviet female tractor driver and labor heroine.
-
D.
Tsarevna of Russia
Tsarevna of Russia was the traditional title given to the daughters or daughters-in-law of a Russian tsar, denoting their status as imperial princesses within the Romanov dynasty.
-
E.
Romeyka
Romeyka is an endangered Greek dialect spoken mainly in northeastern Turkey, notable for preserving many archaic features of Ancient Greek.
- 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_69ca83d9844081908e561e367fda6d45 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc971435d08190b5007ed44ac0a364 |
completed | April 1, 2026, 3:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0182d8ea08190b4337a77b47019a5 |
completed | April 3, 2026, 7:42 p.m. |
| NEDg | Description generation | batch_69d019666cb08190b66298ff86a7e1af |
completed | April 3, 2026, 7:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d01a700ce48190868d445bde2462dc |
completed | April 3, 2026, 7:52 p.m. |
Created at: March 30, 2026, 7:15 p.m.