Triple
T7325636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ema |
E168865
|
entity |
| Predicate | shortFormOf |
P43
|
FINISHED |
| Object |
Emilija
Emilija is a feminine given name commonly used in various Slavic and Baltic countries, equivalent to Emilia or Emily in English.
|
E657719
|
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: Emilija | Statement: [Ema, shortFormOf, Emilija]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emilija Context triple: [Ema, shortFormOf, Emilija]
-
A.
Dáša
Dáša is a common Czech and Slovak feminine given name, typically used as a diminutive form of Dagmar.
-
B.
Lucija
Lucija is a coastal settlement and suburb of Piran in southwestern Slovenia, known as a residential and tourist area near the Adriatic Sea.
-
C.
Doroteja
Doroteja is a feminine given name, commonly used in Slavic countries, that is a variant of the name Dorothea.
-
D.
Olivera Despina
Olivera Despina was a Serbian princess of the Lazarević dynasty who became an Ottoman sultana through her marriage to Sultan Bayezid I.
-
E.
Jovanka
Jovanka is a feminine given name best known for its association with Jovanka Broz, the former First Lady of Yugoslavia and wife of Josip Broz Tito.
- 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: Emilija Triple: [Ema, shortFormOf, Emilija]
Generated description
Emilija is a feminine given name commonly used in various Slavic and Baltic countries, equivalent to Emilia or Emily in English.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emilija Target entity description: Emilija is a feminine given name commonly used in various Slavic and Baltic countries, equivalent to Emilia or Emily in English.
-
A.
Dáša
Dáša is a common Czech and Slovak feminine given name, typically used as a diminutive form of Dagmar.
-
B.
Lucija
Lucija is a coastal settlement and suburb of Piran in southwestern Slovenia, known as a residential and tourist area near the Adriatic Sea.
-
C.
Doroteja
Doroteja is a feminine given name, commonly used in Slavic countries, that is a variant of the name Dorothea.
-
D.
Olivera Despina
Olivera Despina was a Serbian princess of the Lazarević dynasty who became an Ottoman sultana through her marriage to Sultan Bayezid I.
-
E.
Jovanka
Jovanka is a feminine given name best known for its association with Jovanka Broz, the former First Lady of Yugoslavia and wife of Josip Broz Tito.
- 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_69c68a54cacc81908e3b773441f19566 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0a612c08190b7a3fefa811bbcec |
completed | March 27, 2026, 9:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ef0a1200819089fe3e18493d8bee |
completed | March 28, 2026, 3:08 p.m. |
| NEDg | Description generation | batch_69c7ef7f7b7c8190b3361cc01b2eefc0 |
completed | March 28, 2026, 3:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7f380dbe48190933e1eeff109185d |
completed | March 28, 2026, 3:28 p.m. |
Created at: March 27, 2026, 3:03 p.m.