Triple
T5700153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyubov Orlova |
E125638
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Orlova
Orlova is a Russian surname most famously associated with Lyubov Orlova, a celebrated Soviet film and theater actress.
|
E540827
|
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: Orlova | Statement: [Lyubov Orlova, familyName, Orlova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orlova Context triple: [Lyubov Orlova, familyName, Orlova]
-
A.
Grushenka
Grushenka is a central female character in Fyodor Dostoevsky's novel "The Brothers Karamazov," known for her complex mix of sensuality, capriciousness, and capacity for moral and spiritual transformation.
-
B.
Martha Apraksina
Martha Apraksina was a Russian noblewoman best known as the second wife of Tsar Feodor III of Russia.
-
C.
Praskovia Saltykova
Praskovia Saltykova was a Russian noblewoman and tsarevna consort best known as the wife of Tsar Ivan V and the mother of Empress Anna of Russia.
-
D.
Galina
Galina is a feminine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
-
E.
Kirillovna
Kirillovna is a Russian female patronymic indicating that the bearer is the daughter of someone named Kirill.
- 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: Orlova Triple: [Lyubov Orlova, familyName, Orlova]
Generated description
Orlova is a Russian surname most famously associated with Lyubov Orlova, a celebrated Soviet film and theater actress.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Orlova Target entity description: Orlova is a Russian surname most famously associated with Lyubov Orlova, a celebrated Soviet film and theater actress.
-
A.
Grushenka
Grushenka is a central female character in Fyodor Dostoevsky's novel "The Brothers Karamazov," known for her complex mix of sensuality, capriciousness, and capacity for moral and spiritual transformation.
-
B.
Martha Apraksina
Martha Apraksina was a Russian noblewoman best known as the second wife of Tsar Feodor III of Russia.
-
C.
Praskovia Saltykova
Praskovia Saltykova was a Russian noblewoman and tsarevna consort best known as the wife of Tsar Ivan V and the mother of Empress Anna of Russia.
-
D.
Galina
Galina is a feminine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
-
E.
Kirillovna
Kirillovna is a Russian female patronymic indicating that the bearer is the daughter of someone named Kirill.
- 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_69c0082c96988190b3a6a201edce472a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0241030408190be774a5d2ca6e999 |
completed | March 22, 2026, 5:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a5fe4fc8190944a63a29da0fe3c |
completed | March 22, 2026, 9:08 p.m. |
| NEDg | Description generation | batch_69c05c1d98b4819080ae9163a0cfd659 |
completed | March 22, 2026, 9:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c05caea8b881908a4d12aec44f422e |
completed | March 22, 2026, 9:18 p.m. |
Created at: March 22, 2026, 3:45 p.m.