Triple

T29865660
Position Surface form Disambiguated ID Type / Status
Subject Boston revolt of 1689 E758449 entity
Predicate alsoKnownAs P39 FINISHED
Object Boston Revolt
Boston Revolt was a 1689 uprising by Massachusetts colonists that overthrew the Dominion of New England’s royal governor Sir Edmund Andros and restored local colonial rule.
E1889180 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: Boston Revolt | Statement: [Boston revolt of 1689, alsoKnownAs, Boston Revolt]
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: Boston Revolt
Triple: [Boston revolt of 1689, alsoKnownAs, Boston Revolt]
Generated description
Boston Revolt was a 1689 uprising by Massachusetts colonists that overthrew the Dominion of New England’s royal governor Sir Edmund Andros and restored local colonial rule.

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_69f2245b4dec8190b85f664d918a00a5 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f67689a3908190bdef1a1108f42f87 completed May 2, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26f1caffbc8190b9d6108930354183 completed June 8, 2026, 4:46 p.m.
NEDg Description generation batch_6a26f2c9c08481908041d7b5f11d9ab6 completed June 8, 2026, 4:50 p.m.
NED2 Entity disambiguation (via description) batch_6a26f4479b0c8190951c45e5d0c6f098 completed June 8, 2026, 4:56 p.m.
Created at: April 29, 2026, 5:51 p.m.