Triple
T11768525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikolaos |
E279837
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Nikolas
Nikolas is a given name, commonly used in various cultures, that derives from the Greek name Nikolaos.
|
E945608
|
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: Nikolas | Statement: [Nikolaos, hasVariant, Nikolas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nikolas Context triple: [Nikolaos, hasVariant, Nikolas]
-
A.
Alek
Alek is a common diminutive or short form of the given name Aleksander, used in various Slavic and European languages.
-
B.
Dimitri
Dimitri is a masculine given name of Greek origin, commonly used in various cultures and languages.
-
C.
Nicolai
Nicolai is a German surname historically associated with figures such as the Enlightenment-era publisher and writer Friedrich Nicolai.
-
D.
Dimitri Leonidas
Dimitri Leonidas is a British actor known for his roles in film and television, including a supporting part in the World War II drama "The Monuments Men."
-
E.
Nikita Anisimov
Nikita Anisimov is a Russian academic and university administrator who serves as the rector of the National Research University Higher School of Economics (HSE) in Moscow.
- 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: Nikolas Triple: [Nikolaos, hasVariant, Nikolas]
Generated description
Nikolas is a given name, commonly used in various cultures, that derives from the Greek name Nikolaos.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nikolas Target entity description: Nikolas is a given name, commonly used in various cultures, that derives from the Greek name Nikolaos.
-
A.
Alek
Alek is a common diminutive or short form of the given name Aleksander, used in various Slavic and European languages.
-
B.
Dimitri
Dimitri is a masculine given name of Greek origin, commonly used in various cultures and languages.
-
C.
Nicolai
Nicolai is a German surname historically associated with figures such as the Enlightenment-era publisher and writer Friedrich Nicolai.
-
D.
Dimitri Leonidas
Dimitri Leonidas is a British actor known for his roles in film and television, including a supporting part in the World War II drama "The Monuments Men."
-
E.
Nikita Anisimov
Nikita Anisimov is a Russian academic and university administrator who serves as the rector of the National Research University Higher School of Economics (HSE) in Moscow.
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a526979c8190ad2089997906855b |
completed | April 10, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f09075aba8819082434a43473025bd |
completed | April 28, 2026, 10:48 a.m. |
| NEDg | Description generation | batch_69f0bd3cf8308190813003daa8cfba4a |
completed | April 28, 2026, 1:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f0ef02c930819086d139834ad4ed84 |
completed | April 28, 2026, 5:31 p.m. |
Created at: April 8, 2026, 9:41 p.m.