Triple
T5092833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mikelis |
E114792
|
entity |
| Predicate | isCognateWith |
P2527
|
FINISHED |
| Object |
Mihails
Mihails is a masculine given name, commonly used in Latvia and other Eastern European countries, that is cognate with names like Michael and Mikelis.
|
E492017
|
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: Mihails | Statement: [Mikelis, isCognateWith, Mihails]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mihails Context triple: [Mikelis, isCognateWith, Mihails]
-
A.
Andris
Andris is a masculine given name commonly used in Latvia and other Baltic and Nordic countries, equivalent to Andrew in English.
-
B.
Miklas
Miklas is an Austrian surname most notably borne by Wilhelm Miklas, who served as President of Austria from 1928 to 1938.
-
C.
Kārlis Zāle
Kārlis Zāle was a prominent Latvian sculptor best known for his monumental works that became key symbols of Latvian national identity in the early 20th century.
-
D.
Nils Muižnieks
Nils Muižnieks is a Latvian political scientist and human rights expert who served as the Council of Europe’s Commissioner for Human Rights.
-
E.
Petras
Petras is an important Minoan archaeological site near Sitia on the island of Crete, known for its palace complex and rich Bronze Age remains.
- 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: Mihails Triple: [Mikelis, isCognateWith, Mihails]
Generated description
Mihails is a masculine given name, commonly used in Latvia and other Eastern European countries, that is cognate with names like Michael and Mikelis.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mihails Target entity description: Mihails is a masculine given name, commonly used in Latvia and other Eastern European countries, that is cognate with names like Michael and Mikelis.
-
A.
Andris
Andris is a masculine given name commonly used in Latvia and other Baltic and Nordic countries, equivalent to Andrew in English.
-
B.
Miklas
Miklas is an Austrian surname most notably borne by Wilhelm Miklas, who served as President of Austria from 1928 to 1938.
-
C.
Kārlis Zāle
Kārlis Zāle was a prominent Latvian sculptor best known for his monumental works that became key symbols of Latvian national identity in the early 20th century.
-
D.
Nils Muižnieks
Nils Muižnieks is a Latvian political scientist and human rights expert who served as the Council of Europe’s Commissioner for Human Rights.
-
E.
Petras
Petras is an important Minoan archaeological site near Sitia on the island of Crete, known for its palace complex and rich Bronze Age remains.
- 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_69bd443fc49c819089629c00e311310c |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd754369708190bf4e171a904a19e1 |
completed | March 20, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb14f097081908d835190f13796dd |
completed | March 21, 2026, 2:55 p.m. |
| NEDg | Description generation | batch_69beb202a8748190b677d7bcd2db66c8 |
completed | March 21, 2026, 2:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69beb28cf7b881909d40b70a7fff5033 |
completed | March 21, 2026, 3 p.m. |
Created at: March 20, 2026, 1:40 p.m.