Triple
T22743623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dario Šarić |
E562484
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Veselinka Šarić
Veselinka Šarić is a Croatian former professional basketball player and coach, best known as the mother of NBA player Dario Šarić.
|
E1552065
|
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: Veselinka Šarić | Statement: [Dario Šarić, mother, Veselinka Šarić]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veselinka Šarić Context triple: [Dario Šarić, mother, Veselinka Šarić]
-
A.
Marica Kostelić
Marica Kostelić is a Croatian former alpine skier and member of the renowned Kostelić skiing family.
-
B.
Sanda Dubravčić
Sanda Dubravčić is a former Yugoslav figure skater best known for lighting the Olympic cauldron at the 1984 Winter Olympics in Sarajevo.
-
C.
Nataša Kandić
Nataša Kandić is a Serbian human rights activist known for documenting war crimes and advocating for justice and reconciliation in the former Yugoslavia.
-
D.
Isidora Sekulić
Isidora Sekulić was a prominent Serbian writer, essayist, and literary critic, regarded as one of the most important female authors in Serbian literature.
-
E.
Lucija Šerbedžija
Lucija Šerbedžija is a Croatian actress known for her work in film and television, and for being part of the prominent Šerbedžija acting family.
- 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: Veselinka Šarić Triple: [Dario Šarić, mother, Veselinka Šarić]
Generated description
Veselinka Šarić is a Croatian former professional basketball player and coach, best known as the mother of NBA player Dario Šarić.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Veselinka Šarić Target entity description: Veselinka Šarić is a Croatian former professional basketball player and coach, best known as the mother of NBA player Dario Šarić.
-
A.
Marica Kostelić
Marica Kostelić is a Croatian former alpine skier and member of the renowned Kostelić skiing family.
-
B.
Sanda Dubravčić
Sanda Dubravčić is a former Yugoslav figure skater best known for lighting the Olympic cauldron at the 1984 Winter Olympics in Sarajevo.
-
C.
Nataša Kandić
Nataša Kandić is a Serbian human rights activist known for documenting war crimes and advocating for justice and reconciliation in the former Yugoslavia.
-
D.
Isidora Sekulić
Isidora Sekulić was a prominent Serbian writer, essayist, and literary critic, regarded as one of the most important female authors in Serbian literature.
-
E.
Lucija Šerbedžija
Lucija Šerbedžija is a Croatian actress known for her work in film and television, and for being part of the prominent Šerbedžija acting family.
- 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_69e245513a5c81908d5cb471b4fc429d |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17974c3208190ae1d6b05639cc942 |
completed | April 29, 2026, 3:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b8fd2538881909f55dbef8f523a8d |
completed | May 18, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_6a0b9112e9788190bfb91f800671540c |
completed | May 18, 2026, 10:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b917426e48190a7167f5e323b1015 |
completed | May 18, 2026, 10:23 p.m. |
Created at: April 17, 2026, 3:23 p.m.