Triple

T26420327
Position Surface form Disambiguated ID Type / Status
Subject Albert J. Beveridge E664218 entity
Predicate notableWork P4 FINISHED
Object What is Back of the War
"What is Back of the War" is a work by American historian and politician Albert J. Beveridge that examines the underlying causes and forces driving a major contemporary conflict.
E1724785 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: What is Back of the War | Statement: [Albert J. Beveridge, notableWork, What is Back of the War]
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: What is Back of the War
Triple: [Albert J. Beveridge, notableWork, What is Back of the War]
Generated description
"What is Back of the War" is a work by American historian and politician Albert J. Beveridge that examines the underlying causes and forces driving a major contemporary conflict.

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_69ee883a04ec81908883c4559f8c7e24 completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f6113a20d88190990582ec3f4d31ab completed May 2, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11aec2ff1881909252f8bffc334590 completed May 23, 2026, 1:42 p.m.
NEDg Description generation batch_6a11afe7f1f0819097ec0208368b6409 completed May 23, 2026, 1:47 p.m.
NED2 Entity disambiguation (via description) batch_6a11b0a521b08190bfda23906722482c completed May 23, 2026, 1:50 p.m.
Created at: April 26, 2026, 11:42 p.m.