Triple
T11275443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ivan Franko |
E266923
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Zahar Berkut
"Zahar Berkut" is a historical novella by Ukrainian writer Ivan Franko that depicts the struggle of a Carpathian mountain community against Mongol invaders in the 13th century.
|
E916311
|
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: Zahar Berkut | Statement: [Ivan Franko, notableWork, Zahar Berkut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zahar Berkut Context triple: [Ivan Franko, notableWork, Zahar Berkut]
-
A.
Evilenko
Evilenko is a 2004 psychological horror-thriller film loosely inspired by the crimes of Soviet serial killer Andrei Chikatilo.
-
B.
Zakhar
Zakhar is the son of the late Russian opposition leader Alexei Navalny and his wife Yulia Navalnaya.
-
C.
Grigori
Grigori is the given name of Grigori Rasputin, the controversial Russian mystic and advisor to the Romanov royal family in the early 20th century.
-
D.
Yuri of Uglich
Yuri of Uglich was a Russian prince of the early 16th century, known as a younger son of Grand Prince Vasili III and a member of the ruling Rurikid dynasty.
-
E.
Zahar
Zahar is the surname of Mahmoud Zahar, a prominent Palestinian co-founder and senior leader of the Hamas movement in Gaza.
- 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: Zahar Berkut Triple: [Ivan Franko, notableWork, Zahar Berkut]
Generated description
"Zahar Berkut" is a historical novella by Ukrainian writer Ivan Franko that depicts the struggle of a Carpathian mountain community against Mongol invaders in the 13th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zahar Berkut Target entity description: "Zahar Berkut" is a historical novella by Ukrainian writer Ivan Franko that depicts the struggle of a Carpathian mountain community against Mongol invaders in the 13th century.
-
A.
Evilenko
Evilenko is a 2004 psychological horror-thriller film loosely inspired by the crimes of Soviet serial killer Andrei Chikatilo.
-
B.
Zakhar
Zakhar is the son of the late Russian opposition leader Alexei Navalny and his wife Yulia Navalnaya.
-
C.
Grigori
Grigori is the given name of Grigori Rasputin, the controversial Russian mystic and advisor to the Romanov royal family in the early 20th century.
-
D.
Yuri of Uglich
Yuri of Uglich was a Russian prince of the early 16th century, known as a younger son of Grand Prince Vasili III and a member of the ruling Rurikid dynasty.
-
E.
Zahar
Zahar is the surname of Mahmoud Zahar, a prominent Palestinian co-founder and senior leader of the Hamas movement in Gaza.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e966cb4c8190bc410d7e623e54db |
completed | April 9, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4f445792c8190962d94aa71f328d9 |
completed | April 19, 2026, 3:27 p.m. |
| NEDg | Description generation | batch_69e4f9596e1081908e7b319f77453438 |
completed | April 19, 2026, 3:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4ff5881b8819080f9662a0c2d486d |
completed | April 19, 2026, 4:14 p.m. |
Created at: April 8, 2026, 9:31 p.m.