Triple

T26152872
Position Surface form Disambiguated ID Type / Status
Subject Edward Chamberlayne E659875 entity
Predicate notableWork P4 FINISHED
Object The Present State of England
The Present State of England is a 17th-century political and socio-economic survey that offers a detailed account of England’s government, society, and institutions during the Restoration period.
E1712243 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: The Present State of England | Statement: [Edward Chamberlayne, notableWork, The Present State of England]
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: The Present State of England
Triple: [Edward Chamberlayne, notableWork, The Present State of England]
Generated description
The Present State of England is a 17th-century political and socio-economic survey that offers a detailed account of England’s government, society, and institutions during the Restoration period.

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_69ee5bc5a9908190899d39ce95c6d215 completed April 26, 2026, 6:39 p.m.
NER Named-entity recognition batch_69f60c0bac8081909e39d4e0aaf0f31d completed May 2, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11277044748190a6e0eafe799e3700 completed May 23, 2026, 4:05 a.m.
NEDg Description generation batch_6a1151eef96c8190a071c82455e93f93 completed May 23, 2026, 7:06 a.m.
NED2 Entity disambiguation (via description) batch_6a1152925f2c819087f09c331e3e0344 completed May 23, 2026, 7:09 a.m.
Created at: April 26, 2026, 8:26 p.m.