Triple
T12662754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alena Šeredová |
E302465
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Alena
Alena is a feminine given name commonly used in Slavic countries, often considered a variant of Helena or Magdalena.
|
E996436
|
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: Alena | Statement: [Alena Šeredová, givenName, Alena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alena Context triple: [Alena Šeredová, givenName, Alena]
-
A.
Alisa
Alisa is the birth name of Ayn Rand, the Russian-American novelist and philosopher known for developing Objectivism and writing works such as "Atlas Shrugged" and "The Fountainhead."
-
B.
Nadya
Nadya is a feminine given name, often used as a diminutive of Nadezhda in Slavic cultures.
-
C.
Aliza
Aliza is a feminine given name, often considered a variant of Eliza and used in various cultures with meanings related to joy or nobility.
-
D.
Yelena
Yelena is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to Helen or Helena in English.
-
E.
Natalia
Natalia was a short-lived Boer republic established in the 1830s in what is now KwaZulu-Natal, South Africa.
- 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: Alena Triple: [Alena Šeredová, givenName, Alena]
Generated description
Alena is a feminine given name commonly used in Slavic countries, often considered a variant of Helena or Magdalena.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alena Target entity description: Alena is a feminine given name commonly used in Slavic countries, often considered a variant of Helena or Magdalena.
-
A.
Alisa
Alisa is the birth name of Ayn Rand, the Russian-American novelist and philosopher known for developing Objectivism and writing works such as "Atlas Shrugged" and "The Fountainhead."
-
B.
Nadya
Nadya is a feminine given name, often used as a diminutive of Nadezhda in Slavic cultures.
-
C.
Aliza
Aliza is a feminine given name, often considered a variant of Eliza and used in various cultures with meanings related to joy or nobility.
-
D.
Yelena
Yelena is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to Helen or Helena in English.
-
E.
Natalia
Natalia was a short-lived Boer republic established in the 1830s in what is now KwaZulu-Natal, South Africa.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617c5b888190b37d4ede139bb49e |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6688819fc8190bc03a1a11f96d25f |
completed | May 2, 2026, 9:11 p.m. |
| NEDg | Description generation | batch_69f669c9454081909d39d5bb7082fb00 |
completed | May 2, 2026, 9:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f66b619c88819098acbfb60fac9921 |
completed | May 2, 2026, 9:23 p.m. |
Created at: April 9, 2026, 5:19 p.m.