Triple

T26907238
Position Surface form Disambiguated ID Type / Status
Subject Mary Towne Estey E677285 entity
Predicate associatedWith P37 FINISHED
Object First Church of Salem
The First Church of Salem is a historic Puritan congregation in Salem, Massachusetts, closely tied to the early colonial period and the Salem witch trials era.
E1747715 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: First Church of Salem | Statement: [Mary Towne Estey, associatedWith, First Church of Salem]
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: First Church of Salem
Triple: [Mary Towne Estey, associatedWith, First Church of Salem]
Generated description
The First Church of Salem is a historic Puritan congregation in Salem, Massachusetts, closely tied to the early colonial period and the Salem witch trials era.

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_69eee9bcef1c8190be88586bb902bb9b completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f61fd723e08190b08f9f241d8afa7f completed May 2, 2026, 4:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a121eaefcc48190b34a5565d1f2479d completed May 23, 2026, 9:39 p.m.
NEDg Description generation batch_6a121f7b308c8190a2667f99b45cf2ab completed May 23, 2026, 9:43 p.m.
NED2 Entity disambiguation (via description) batch_6a12203ee42c8190be6d4c4d9f0ec859 completed May 23, 2026, 9:46 p.m.
Created at: April 27, 2026, 5:59 a.m.