Triple

T9721974
Position Surface form Disambiguated ID Type / Status
Subject Sydir Holubovych E235495 entity
Predicate familyName P18 FINISHED
Object Holubovych
Holubovych is a Ukrainian surname most notably associated with Sydir Holubovych, a prominent early 20th-century Ukrainian political figure.
 E816470 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: Holubovych | Statement: [Sydir Holubovych, familyName, Holubovych]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Holubovych
Context triple: [Sydir Holubovych, familyName, Holubovych]
  • A. Zahorodniuk
    Zahorodniuk is a Ukrainian surname most notably borne by Andriy Zahorodniuk, a former Minister of Defence of Ukraine.
  • B. Shmyhal
    Shmyhal is the surname of Denys Shmyhal, a Ukrainian politician who has served as Prime Minister of Ukraine.
  • C. Vadym
    Vadym is a masculine given name of Slavic origin, commonly used in Ukraine and other Eastern European countries.
  • D. Lubomir
    Lubomir is a mountain peak in southern Poland’s Beskid Wyspowy range, known for its scenic views and hiking trails.
  • E. Turchynov
    Turchynov is a Ukrainian politician and former acting president of Ukraine known for his roles in the country’s post-2014 political transition.
  • 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: Holubovych
Triple: [Sydir Holubovych, familyName, Holubovych]
Generated description
Holubovych is a Ukrainian surname most notably associated with Sydir Holubovych, a prominent early 20th-century Ukrainian political figure.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Holubovych
Target entity description: Holubovych is a Ukrainian surname most notably associated with Sydir Holubovych, a prominent early 20th-century Ukrainian political figure.
  • A. Zahorodniuk
    Zahorodniuk is a Ukrainian surname most notably borne by Andriy Zahorodniuk, a former Minister of Defence of Ukraine.
  • B. Shmyhal
    Shmyhal is the surname of Denys Shmyhal, a Ukrainian politician who has served as Prime Minister of Ukraine.
  • C. Vadym
    Vadym is a masculine given name of Slavic origin, commonly used in Ukraine and other Eastern European countries.
  • D. Lubomir
    Lubomir is a mountain peak in southern Poland’s Beskid Wyspowy range, known for its scenic views and hiking trails.
  • E. Turchynov
    Turchynov is a Ukrainian politician and former acting president of Ukraine known for his roles in the country’s post-2014 political transition.
  • 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_69ca84d0123c819096f9dc3b6abb0881 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e42ce948190b52791b27c4456dc completed April 1, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19fa130548190ae729487b90fa8a7 completed April 4, 2026, 11:32 p.m.
NEDg Description generation batch_69d1a0b4dbf8819097e38c253327fc10 completed April 4, 2026, 11:37 p.m.
NED2 Entity disambiguation (via description) batch_69d1a172ad848190a76f95c4937689d7 completed April 4, 2026, 11:40 p.m.
Created at: March 30, 2026, 8:20 p.m.