Triple
T14956640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milla Jovovich |
E372946
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Milica
Milica is the Slavic given name of actress and model Milla Jovovich, reflecting her Eastern European heritage.
|
E1130332
|
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: Milica | Statement: [Milla Jovovich, givenName, Milica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Milica Context triple: [Milla Jovovich, givenName, Milica]
-
A.
Milica Pivnički
Milica Pivnički, better known as Mila Mulroney, is the Serbian-born Canadian wife of former Canadian Prime Minister Brian Mulroney and a notable public figure and charity advocate.
-
B.
Mirjana
Mirjana is a feminine given name commonly used in various Slavic countries.
-
C.
Dunja
Dunja is a feminine given name commonly used in South Slavic countries, often associated with the Bosnian human rights advocate Dunja Mijatović.
-
D.
Emilija
Emilija is a feminine given name commonly used in various Slavic and Baltic countries, equivalent to Emilia or Emily in English.
-
E.
Milena Vukotic
Milena Vukotic is an Italian actress known for her work in European art-house cinema and collaborations with directors such as Luis Buñuel and Federico Fellini.
- 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: Milica Triple: [Milla Jovovich, givenName, Milica]
Generated description
Milica is the Slavic given name of actress and model Milla Jovovich, reflecting her Eastern European heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Milica Target entity description: Milica is the Slavic given name of actress and model Milla Jovovich, reflecting her Eastern European heritage.
-
A.
Milica Pivnički
Milica Pivnički, better known as Mila Mulroney, is the Serbian-born Canadian wife of former Canadian Prime Minister Brian Mulroney and a notable public figure and charity advocate.
-
B.
Mirjana
Mirjana is a feminine given name commonly used in various Slavic countries.
-
C.
Dunja
Dunja is a feminine given name commonly used in South Slavic countries, often associated with the Bosnian human rights advocate Dunja Mijatović.
-
D.
Emilija
Emilija is a feminine given name commonly used in various Slavic and Baltic countries, equivalent to Emilia or Emily in English.
-
E.
Milena Vukotic
Milena Vukotic is an Italian actress known for her work in European art-house cinema and collaborations with directors such as Luis Buñuel and Federico Fellini.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6cc73848190ac181782b20dc838 |
completed | April 15, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bda691481909c2d89a362782ed8 |
completed | May 9, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_69fe8fcc19e08190a0d11c8310b8625f |
completed | May 9, 2026, 1:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe91a86ae881908b492a4f255866b9 |
completed | May 9, 2026, 1:45 a.m. |
Created at: April 10, 2026, 2:40 a.m.