Triple
T11923237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zora Dirnbach |
E283711
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Crna kutija
Crna kutija is a notable literary work by Croatian writer and journalist Zora Dirnbach.
|
E955296
|
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: Crna kutija | Statement: [Zora Dirnbach, notableWork, Crna kutija]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crna kutija Context triple: [Zora Dirnbach, notableWork, Crna kutija]
-
A.
Czarnca
Czarnca is a village in south-central Poland historically known as the birthplace and estate of the 17th-century Polish military commander Stefan Czarniecki.
-
B.
Zla Kolata
Zla Kolata is a prominent peak in the Prokletije mountain range on the Montenegro–Albania border, known as one of the highest and most challenging summits in the region.
-
C.
Sjenica
Sjenica is a town in southwestern Serbia known for its harsh winters, high-altitude plateau setting, and production of the famous Sjenica cheese.
-
D.
الركن الأسود
الركن الأسود هو أحد أركان الكعبة المشرفة الذي يضم الحجر الأسود ويُعد موضعًا ذا قدسية خاصة في الشعائر الإسلامية.
-
E.
Crnica
Crnica is a river in central Serbia that flows through the city of Paraćin before joining the Velika Morava.
- 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: Crna kutija Triple: [Zora Dirnbach, notableWork, Crna kutija]
Generated description
Crna kutija is a notable literary work by Croatian writer and journalist Zora Dirnbach.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Crna kutija Target entity description: Crna kutija is a notable literary work by Croatian writer and journalist Zora Dirnbach.
-
A.
Czarnca
Czarnca is a village in south-central Poland historically known as the birthplace and estate of the 17th-century Polish military commander Stefan Czarniecki.
-
B.
Zla Kolata
Zla Kolata is a prominent peak in the Prokletije mountain range on the Montenegro–Albania border, known as one of the highest and most challenging summits in the region.
-
C.
Sjenica
Sjenica is a town in southwestern Serbia known for its harsh winters, high-altitude plateau setting, and production of the famous Sjenica cheese.
-
D.
الركن الأسود
الركن الأسود هو أحد أركان الكعبة المشرفة الذي يضم الحجر الأسود ويُعد موضعًا ذا قدسية خاصة في الشعائر الإسلامية.
-
E.
Crnica
Crnica is a river in central Serbia that flows through the city of Paraćin before joining the Velika Morava.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e8e2fc648190a446c1917db1c7d9 |
completed | April 10, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f44042cf1c81909de44acfe1202482 |
completed | May 1, 2026, 5:55 a.m. |
| NEDg | Description generation | batch_69f448fb898081908a8ffd0da703c0f9 |
completed | May 1, 2026, 6:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f44b9e662881908549e041f6a05e38 |
completed | May 1, 2026, 6:43 a.m. |
Created at: April 8, 2026, 9:45 p.m.