Triple

T25186391
Position Surface form Disambiguated ID Type / Status
Subject George Friedman E630729 entity
Predicate notableWork P4 FINISHED
Object The Next Decade
The Next Decade is a geopolitical analysis book by strategist George Friedman that forecasts major global power shifts and U.S. foreign policy challenges in the ten years following its publication.
 E1667229 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: The Next Decade | Statement: [George Friedman, notableWork, The Next Decade]
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: The Next Decade
Triple: [George Friedman, notableWork, The Next Decade]
Generated description
The Next Decade is a geopolitical analysis book by strategist George Friedman that forecasts major global power shifts and U.S. foreign policy challenges in the ten years following its publication.

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_69e75a8a6d088190ba1e82a4345225e7 completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f46e0aeb588190b3ee13a6c031c223 completed May 1, 2026, 9:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a105d22c5f48190983eb1dca7b52b46 completed May 22, 2026, 1:41 p.m.
NEDg Description generation batch_6a105e52d9fc8190b22dd25b9cec720b completed May 22, 2026, 1:46 p.m.
NED2 Entity disambiguation (via description) batch_6a105f4ef2648190a3b26415b711b171 completed May 22, 2026, 1:51 p.m.
Created at: April 21, 2026, 12:44 p.m.