Triple

T31242962
Position Surface form Disambiguated ID Type / Status
Subject Agnes Ernst Meyer E796609 entity
Predicate notableWork P4 FINISHED
Object Out of These Roots
Out of These Roots is a memoir by journalist and philanthropist Agnes Ernst Meyer, recounting her early life, career, and social activism in early 20th-century America.
 E1952940 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: Out of These Roots | Statement: [Agnes Ernst Meyer, notableWork, Out of These Roots]
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: Out of These Roots
Triple: [Agnes Ernst Meyer, notableWork, Out of These Roots]
Generated description
Out of These Roots is a memoir by journalist and philanthropist Agnes Ernst Meyer, recounting her early life, career, and social activism in early 20th-century America.

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_69f224db69ac81909a370adad6a7ac7c completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69d2859fc81909c860069dcad948f completed May 3, 2026, 12:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a296beb9bc88190b833494eebe36377 completed June 10, 2026, 1:51 p.m.
NEDg Description generation batch_6a296d4e7e0481908c6aa4bbfca0b520 completed June 10, 2026, 1:57 p.m.
NED2 Entity disambiguation (via description) batch_6a299ba2c2a4819090e463dcae50684f completed June 10, 2026, 5:15 p.m.
Created at: April 29, 2026, 9:11 p.m.