Triple

T34096218
Position Surface form Disambiguated ID Type / Status
Subject Windward Maroons E874435 entity
Predicate ethnicOrigin P194 FINISHED
Object Coromantee
Coromantee were enslaved Akan-speaking people from the Gold Coast of West Africa, known in the Americas for their strong resistance to slavery and influence on Maroon communities and rebellions.
E2080821 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: Coromantee | Statement: [Windward Maroons, ethnicOrigin, Coromantee]
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: Coromantee
Triple: [Windward Maroons, ethnicOrigin, Coromantee]
Generated description
Coromantee were enslaved Akan-speaking people from the Gold Coast of West Africa, known in the Americas for their strong resistance to slavery and influence on Maroon communities and rebellions.

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_69f349a735208190a1dbfb1c2a121059 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f70c5d397c8190a662b6137058c075 completed May 3, 2026, 8:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36ae6083c88190bbbc3f002efba9e2 completed June 20, 2026, 3:14 p.m.
NEDg Description generation batch_6a36aef70cac81909864ca6c04cbfa2a completed June 20, 2026, 3:17 p.m.
NED2 Entity disambiguation (via description) batch_6a36afc47fc4819097fd115ba24b55dc completed June 20, 2026, 3:20 p.m.
Created at: May 1, 2026, 1:53 a.m.