Triple

T36622348
Position Surface form Disambiguated ID Type / Status
Subject Recollections of a Lifetime E904075 entity
Predicate describes P264 FINISHED
Object experiences of S. G. Goodrich
The experiences of S. G. Goodrich encompass the personal, professional, and literary life of the 19th-century American author and publisher best known for his popular “Peter Parley” educational books.
 E2192299 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: experiences of S. G. Goodrich | Statement: [Recollections of a Lifetime, describes, experiences of S. G. Goodrich]
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: experiences of S. G. Goodrich
Triple: [Recollections of a Lifetime, describes, experiences of S. G. Goodrich]
Generated description
The experiences of S. G. Goodrich encompass the personal, professional, and literary life of the 19th-century American author and publisher best known for his popular “Peter Parley” educational books.

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_69f76e6ae750819096911e6e2d4d12c5 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c4adafb4819094defcfeff93906d completed May 3, 2026, 9:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3a0961ae8081908118d3985cba3516 completed June 23, 2026, 4:19 a.m.
NEDg Description generation batch_6a3a0f30eacc8190a7d0690fde50c805 completed June 23, 2026, 4:44 a.m.
NED2 Entity disambiguation (via description) batch_6a3a1037346081909b0728bd17e289f4 completed June 23, 2026, 4:48 a.m.
Created at: May 3, 2026, 4:11 p.m.