Triple
T880683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marija Ružić Marić |
E19018
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Marija
Marija is a feminine given name commonly used in Slavic and other European cultures, equivalent to "Maria" or "Mary."
|
E108095
|
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: Marija | Statement: [Marija Ružić Marić, givenName, Marija]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marija Context triple: [Marija Ružić Marić, givenName, Marija]
-
A.
Klaudija
Klaudija is a feminine given name, commonly used in Slavic countries, that corresponds to the name Claudia.
-
B.
Mila
Mila is a leading artificial intelligence research institute based in Quebec, renowned for its work in deep learning and machine learning.
-
C.
Marić
Marić is the Serbian family name of Mileva Marić, a pioneering physicist and mathematician known for her association with Albert Einstein.
-
D.
Marija Pejčinović Burić
Marija Pejčinović Burić is a Croatian diplomat and politician who has served as Secretary General of the Council of Europe.
-
E.
Tanja Stomporowski
Tanja Stomporowski is a German local politician who serves as the mayor of the town of Quakenbrück in Lower Saxony.
- 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: Marija Triple: [Marija Ružić Marić, givenName, Marija]
Generated description
Marija is a feminine given name commonly used in Slavic and other European cultures, equivalent to "Maria" or "Mary."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marija Target entity description: Marija is a feminine given name commonly used in Slavic and other European cultures, equivalent to "Maria" or "Mary."
-
A.
Klaudija
Klaudija is a feminine given name, commonly used in Slavic countries, that corresponds to the name Claudia.
-
B.
Mila
Mila is a leading artificial intelligence research institute based in Quebec, renowned for its work in deep learning and machine learning.
-
C.
Marić
Marić is the Serbian family name of Mileva Marić, a pioneering physicist and mathematician known for her association with Albert Einstein.
-
D.
Marija Pejčinović Burić
Marija Pejčinović Burić is a Croatian diplomat and politician who has served as Secretary General of the Council of Europe.
-
E.
Tanja Stomporowski
Tanja Stomporowski is a German local politician who serves as the mayor of the town of Quakenbrück in Lower Saxony.
- 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_69a4939c32488190a7ccd41cf0abb22b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4accb653c81909fe0753f78145be9 |
completed | March 1, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7cf55fec481908460522373cc48ba |
completed | March 4, 2026, 6:21 a.m. |
| NEDg | Description generation | batch_69a7cfecba308190ae966e2e28e474b0 |
completed | March 4, 2026, 6:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7d041893881908a2dbf7af521db4d |
completed | March 4, 2026, 6:25 a.m. |
Created at: March 1, 2026, 7:39 p.m.