Triple

T32235809
Position Surface form Disambiguated ID Type / Status
Subject Simon Greenleaf E823462 entity
Predicate notableWork P4 FINISHED
Object A Treatise on the Law of Evidence
A Treatise on the Law of Evidence is a foundational 19th-century legal text that systematically organized and influenced the modern rules and practice of evidence in Anglo-American law.
 E1997557 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: A Treatise on the Law of Evidence | Statement: [Simon Greenleaf, notableWork, A Treatise on the Law of Evidence]
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: A Treatise on the Law of Evidence
Triple: [Simon Greenleaf, notableWork, A Treatise on the Law of Evidence]
Generated description
A Treatise on the Law of Evidence is a foundational 19th-century legal text that systematically organized and influenced the modern rules and practice of evidence in Anglo-American law.

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_69f3490c140481908ed53b98b561eaa1 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bbfe2bc88190a36ce3d7230d74a4 completed May 3, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f3bafd7a88190883ea2e6f07b9d37 completed June 14, 2026, 11:39 p.m.
NEDg Description generation batch_6a2f3c6228388190ac68cfbe4aa06306 completed June 14, 2026, 11:42 p.m.
NED2 Entity disambiguation (via description) batch_6a2f40454f3c81908fbc6be995ff5c07 completed June 14, 2026, 11:59 p.m.
Created at: May 1, 2026, 12:39 a.m.