Triple
T23076147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natalina |
E575334
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object |
Natalína
Natalína is a feminine given name, commonly used in various European countries as a variant of Natalia/Natalina.
|
E1576015
|
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: Natalína | Statement: [Natalina, hasSpellingVariant, Natalína]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Natalína Context triple: [Natalina, hasSpellingVariant, Natalína]
-
A.
Natalka
Natalka is a central female character in the 1942 British melodrama film "The Devil’s Harvest."
-
B.
Nadiža
Nadiža is a river in the western Balkans, known for its clear waters and scenic course through the mountainous border region between Slovenia and Italy.
-
C.
Stanislava
Stanislava is a feminine given name of Slavic origin, commonly used in Central and Eastern European countries.
-
D.
Rositsa
Rositsa is a river in northern Bulgaria that serves as a significant tributary of the Yantra River.
-
E.
Sveta
Sveta is a common Russian diminutive form of the female given name Svetlana, often used as an affectionate or informal nickname.
- 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: Natalína Triple: [Natalina, hasSpellingVariant, Natalína]
Generated description
Natalína is a feminine given name, commonly used in various European countries as a variant of Natalia/Natalina.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Natalína Target entity description: Natalína is a feminine given name, commonly used in various European countries as a variant of Natalia/Natalina.
-
A.
Natalka
Natalka is a central female character in the 1942 British melodrama film "The Devil’s Harvest."
-
B.
Nadiža
Nadiža is a river in the western Balkans, known for its clear waters and scenic course through the mountainous border region between Slovenia and Italy.
-
C.
Stanislava
Stanislava is a feminine given name of Slavic origin, commonly used in Central and Eastern European countries.
-
D.
Rositsa
Rositsa is a river in northern Bulgaria that serves as a significant tributary of the Yantra River.
-
E.
Sveta
Sveta is a common Russian diminutive form of the female given name Svetlana, often used as an affectionate or informal nickname.
- 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_69e245be28d48190ad1348d5a73db37d |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18c63870c81909a08a3b410c0d417 |
completed | April 29, 2026, 4:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3f33a6588190a0c3376e4120b45b |
completed | May 19, 2026, 10:45 a.m. |
| NEDg | Description generation | batch_6a0c3fd6ae3c8190ad5debec1c122750 |
completed | May 19, 2026, 10:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c4064012c819083b2ffe795226ab6 |
completed | May 19, 2026, 10:50 a.m. |
Created at: April 17, 2026, 3:56 p.m.