Triple

T23705422
Position Surface form Disambiguated ID Type / Status
Subject People's Revolutionary Army E585705 entity
Predicate notableCommander P1197 FINISHED
Object Ewart Layne
Ewart Layne is a Grenadian revolutionary and former military leader who played a key role in the Marxist-Leninist New Jewel Movement government and its armed forces during the Grenada Revolution.
E1621770 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: Ewart Layne | Statement: [People's Revolutionary Army, notableCommander, Ewart Layne]
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: Ewart Layne
Triple: [People's Revolutionary Army, notableCommander, Ewart Layne]
Generated description
Ewart Layne is a Grenadian revolutionary and former military leader who played a key role in the Marxist-Leninist New Jewel Movement government and its armed forces during the Grenada Revolution.

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_69e24904bd508190abfcb74855de2918 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b686ef50819090a85e3ed40cfba1 completed April 29, 2026, 7:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0faced35988190bd7fe3ca28fedcc3 completed May 22, 2026, 1:10 a.m.
NEDg Description generation batch_6a0faf61e0648190918b2a2306eebb71 completed May 22, 2026, 1:20 a.m.
NED2 Entity disambiguation (via description) batch_6a0fafd5d91481908b4a4b65ad02431b completed May 22, 2026, 1:22 a.m.
Created at: April 17, 2026, 6:53 p.m.