Triple
T18447313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zénaïde |
E450689
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Zinaida
Zinaida is a feminine given name of Slavic origin, commonly used in Russian and other Eastern European cultures.
|
E67769
|
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: Zinaida | Statement: [Zénaïde, hasVariant, Zinaida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zinaida Context triple: [Zénaïde, hasVariant, Zinaida]
-
A.
Lyudmila
Lyudmila is a Russian linguist and the former First Lady of Russia, known for being the ex-wife of President Vladimir Putin.
-
B.
Lyudmila
Lyudmila is a common Russian female given name, notably borne by figures such as Soviet World War II sniper Lyudmila Pavlichenko.
-
C.
Zinaida Volkova
Zinaida Volkova was the eldest daughter of Russian revolutionary Leon Trotsky, known for her involvement in the early Soviet intellectual milieu and her tragic death in exile.
-
D.
Ludmila
Ludmila is the heroine of Alexander Pushkin’s narrative poem "Ruslan and Ludmila," known as a beautiful Kievan princess whose abduction sets the story’s adventurous plot in motion.
-
E.
Nadezhda Vasilyeva
Nadezhda Vasilyeva is known primarily as a daughter of Vasily Stalin, the son of Soviet leader Joseph Stalin.
- 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: Zinaida Triple: [Zénaïde, hasVariant, Zinaida]
Generated description
Zinaida is a feminine given name of Slavic origin, commonly used in Russian and other Eastern European cultures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zinaida Target entity description: Zinaida is a feminine given name of Slavic origin, commonly used in Russian and other Eastern European cultures.
-
A.
Lyudmila
Lyudmila is a Russian linguist and the former First Lady of Russia, known for being the ex-wife of President Vladimir Putin.
-
B.
Lyudmila
Lyudmila is a common Russian female given name, notably borne by figures such as Soviet World War II sniper Lyudmila Pavlichenko.
-
C.
Zinaida Volkova
chosen
Zinaida Volkova was the eldest daughter of Russian revolutionary Leon Trotsky, known for her involvement in the early Soviet intellectual milieu and her tragic death in exile.
-
D.
Ludmila
Ludmila is the heroine of Alexander Pushkin’s narrative poem "Ruslan and Ludmila," known as a beautiful Kievan princess whose abduction sets the story’s adventurous plot in motion.
-
E.
Nadezhda Vasilyeva
Nadezhda Vasilyeva is known primarily as a daughter of Vasily Stalin, the son of Soviet leader Joseph Stalin.
- F. None of above.
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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52645cb88819086b0e70b6613edcd |
completed | April 19, 2026, 7 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a050d6284f48190874e24445354504f |
completed | May 13, 2026, 11:46 p.m. |
| NEDg | Description generation | batch_6a050de828dc8190b09905614cf9197b |
completed | May 13, 2026, 11:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a050e6112e88190a399cf58ea6c8401 |
completed | May 13, 2026, 11:50 p.m. |
Created at: April 10, 2026, 11:30 a.m.