Triple

T38685146
Position Surface form Disambiguated ID Type / Status
Subject Narodnik movement E949094 entity
Predicate hasPart P35 FINISHED
Object Going to the People movement
The Going to the People movement was a 1870s Russian populist campaign in which radical intellectuals went into the countryside to politically awaken and mobilize the peasantry against the tsarist regime.
E2279908 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: Going to the People movement | Statement: [Narodnik movement, hasPart, Going to the People movement]
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: Going to the People movement
Triple: [Narodnik movement, hasPart, Going to the People movement]
Generated description
The Going to the People movement was a 1870s Russian populist campaign in which radical intellectuals went into the countryside to politically awaken and mobilize the peasantry against the tsarist regime.

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_69f76efe16148190befd5dd59c3dfeaa completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fcdc41c34481908dae6dee79d3fa77 completed May 7, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41fd78ff40819081a9648f0446c72a completed June 29, 2026, 5:07 a.m.
NEDg Description generation batch_6a41fe94c1fc8190bb21fee5acc371ff completed June 29, 2026, 5:11 a.m.
NED2 Entity disambiguation (via description) batch_6a41ff1ca2d481909286a6c77f64b8b1 completed June 29, 2026, 5:14 a.m.
Created at: May 3, 2026, 4:33 p.m.