Triple

T35229698
Position Surface form Disambiguated ID Type / Status
Subject Hope Cemetery, Worcester, Massachusetts, United States E1017194 entity
Predicate notableBurial P196 FINISHED
Object Charles H. Jones
Charles H. Jones was an American businessman and shoe manufacturer who became a prominent political figure in Massachusetts in the late 19th and early 20th centuries.
E2284507 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: Charles H. Jones | Statement: [Hope Cemetery, Worcester, Massachusetts, United States, notableBurial, Charles H. Jones]
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: Charles H. Jones
Triple: [Hope Cemetery, Worcester, Massachusetts, United States, notableBurial, Charles H. Jones]
Generated description
Charles H. Jones was an American businessman and shoe manufacturer who became a prominent political figure in Massachusetts in the late 19th and early 20th centuries.

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_69f76de12e4c8190bc46b71a32858356 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78eacdb048190a7f66faab83d2d7c completed May 3, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a438ed111dc81909cd23c6b428b43e3 completed June 30, 2026, 9:39 a.m.
NEDg Description generation batch_6a438fd8686081909e87658bc0183d9b completed June 30, 2026, 9:43 a.m.
NED2 Entity disambiguation (via description) batch_6a43904f1f28819084d4f5365362e412 completed June 30, 2026, 9:45 a.m.
Created at: May 3, 2026, 4:02 p.m.