Triple
T16492251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boris Trajkovski |
E400594
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Sara Trajkovska
Sara Trajkovska is known as the daughter of the late Boris Trajkovski, the former President of North Macedonia.
|
E1222765
|
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: Sara Trajkovska | Statement: [Boris Trajkovski, hasChild, Sara Trajkovska]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sara Trajkovska Context triple: [Boris Trajkovski, hasChild, Sara Trajkovska]
-
A.
Izabela Vidovic
Izabela Vidovic is a Bosnian-American actress known for her roles in films like "Homefront" and "Wonder" as well as various television series.
-
B.
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.
-
C.
Blanka Vlašić
Blanka Vlašić is a Croatian high jumper renowned for her multiple world titles and status as one of the greatest female high jumpers in athletics history.
-
D.
Tatiana Pajkovic
Tatiana Pajkovic is a Danish actress and musician known for her work in film and television and for her marriage to actor Boyd Holbrook.
-
E.
Nena Danevic
Nena Danevic is a film editor best known for her Academy Award–winning work on the 1984 historical drama "Amadeus."
- 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: Sara Trajkovska Triple: [Boris Trajkovski, hasChild, Sara Trajkovska]
Generated description
Sara Trajkovska is known as the daughter of the late Boris Trajkovski, the former President of North Macedonia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sara Trajkovska Target entity description: Sara Trajkovska is known as the daughter of the late Boris Trajkovski, the former President of North Macedonia.
-
A.
Izabela Vidovic
Izabela Vidovic is a Bosnian-American actress known for her roles in films like "Homefront" and "Wonder" as well as various television series.
-
B.
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.
-
C.
Blanka Vlašić
Blanka Vlašić is a Croatian high jumper renowned for her multiple world titles and status as one of the greatest female high jumpers in athletics history.
-
D.
Tatiana Pajkovic
Tatiana Pajkovic is a Danish actress and musician known for her work in film and television and for her marriage to actor Boyd Holbrook.
-
E.
Nena Danevic
Nena Danevic is a film editor best known for her Academy Award–winning work on the 1984 historical drama "Amadeus."
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e30cb648190a52cb32896c4ac5a |
completed | April 18, 2026, 7:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00758bc924819099f29d01bd8a02a0 |
completed | May 10, 2026, 12:09 p.m. |
| NEDg | Description generation | batch_6a0076606dfc8190ac70597077a66ef0 |
completed | May 10, 2026, 12:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0076e65ab48190a3ead04eed9019bc |
completed | May 10, 2026, 12:15 p.m. |
Created at: April 10, 2026, 5:13 a.m.