Triple

T31999558
Position Surface form Disambiguated ID Type / Status
Subject Nikolai Polikarpov E817085 entity
Predicate notableWork P4 FINISHED
Object Polikarpov I-185
The Polikarpov I-185 was an advanced Soviet prototype fighter aircraft of World War II, designed for high performance but never mass-produced due to development and production challenges.
E2011992 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: Polikarpov I-185 | Statement: [Nikolai Polikarpov, notableWork, Polikarpov I-185]
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: Polikarpov I-185
Triple: [Nikolai Polikarpov, notableWork, Polikarpov I-185]
Generated description
The Polikarpov I-185 was an advanced Soviet prototype fighter aircraft of World War II, designed for high performance but never mass-produced due to development and production challenges.

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_69f348f8ce388190ae84376b1f348f12 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b3fb2f48819095ee389b66f69b7c completed May 3, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a347b63f7688190ab62240fd5520242 completed June 18, 2026, 11:12 p.m.
NEDg Description generation batch_6a347cc9f6fc81908c209df6900b6b87 completed June 18, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_6a347d86b008819099f202b5d0f6a0d6 completed June 18, 2026, 11:21 p.m.
Created at: May 1, 2026, 12:14 a.m.