Triple

T32942533
Position Surface form Disambiguated ID Type / Status
Subject Kostenko E842709 entity
Predicate hasNotableBearer P458 FINISHED
Object Lina Kostenko
Lina Kostenko is a renowned Ukrainian poet and dissident, celebrated as a leading figure of the 1960s Sixtiers movement and a prominent voice of Ukrainian cultural and national revival.
E2285599 NE FINISHED

How this triple was built (2 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: Lina Kostenko | Statement: [Kostenko, hasNotableBearer, Lina Kostenko]
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: Lina Kostenko
Triple: [Kostenko, hasNotableBearer, Lina Kostenko]
Generated description
Lina Kostenko is a renowned Ukrainian poet and dissident, celebrated as a leading figure of the 1960s Sixtiers movement and a prominent voice of Ukrainian cultural and national revival.

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_69f34949727c81909d195c97de3341c8 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d13d72f8819081fa08ae5b9d8bb1 completed May 3, 2026, 4:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a4602ab1f288190bac44855170f1ada completed July 2, 2026, 6:18 a.m.
NEDg Description generation batch_6a46037bb6d8819095195039f9501d34 completed July 2, 2026, 6:21 a.m.
NED2 Entity disambiguation (via description) batch_6a4603eccccc8190930997e8b606002a completed July 2, 2026, 6:23 a.m.
Created at: May 1, 2026, 1:20 a.m.