Triple

T33313193
Position Surface form Disambiguated ID Type / Status
Subject Transcendental Wild Oats E852941 entity
Predicate featuresCharacter P626 FINISHED
Object Sister Hope
Sister Hope is a central character in Louisa May Alcott’s satirical short story "Transcendental Wild Oats," representing a practical, resilient woman coping with the challenges of an idealistic utopian community.
E2045506 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: Sister Hope | Statement: [Transcendental Wild Oats, featuresCharacter, Sister Hope]
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: Sister Hope
Triple: [Transcendental Wild Oats, featuresCharacter, Sister Hope]
Generated description
Sister Hope is a central character in Louisa May Alcott’s satirical short story "Transcendental Wild Oats," representing a practical, resilient woman coping with the challenges of an idealistic utopian community.

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_69f349679fd8819093b9b40e989440e3 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6decdd1188190ac601c1fcbcd31d6 completed May 3, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a35432eaa108190a4c1b64b318481d9 completed June 19, 2026, 1:25 p.m.
NEDg Description generation batch_6a3543e33234819098c6be618c0a4404 completed June 19, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_6a35446396788190b2acad4c36a8226f completed June 19, 2026, 1:30 p.m.
Created at: May 1, 2026, 1:33 a.m.