Triple

T30201010
Position Surface form Disambiguated ID Type / Status
Subject Hydesville rappings E767782 entity
Predicate associatedWith P37 FINISHED
Object Margaret Fox
Margaret Fox was a 19th-century American spiritualist best known as one of the Fox sisters, whose alleged spirit communications helped launch the modern Spiritualism movement.
 E1904482 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: Margaret Fox | Statement: [Hydesville rappings, associatedWith, Margaret Fox]
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: Margaret Fox
Triple: [Hydesville rappings, associatedWith, Margaret Fox]
Generated description
Margaret Fox was a 19th-century American spiritualist best known as one of the Fox sisters, whose alleged spirit communications helped launch the modern Spiritualism movement.

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_69f2247db1108190835c0727c97637c3 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67fc5364881908f711ee6c3489b9d completed May 2, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2758a099088190a05f39b0063f5d02 completed June 9, 2026, 12:04 a.m.
NEDg Description generation batch_6a275a7f3e7c8190bd79a2bad2e66ca1 completed June 9, 2026, 12:12 a.m.
NED2 Entity disambiguation (via description) batch_6a275e9f9f148190ab1d1fd5ebc2d6bd completed June 9, 2026, 12:30 a.m.
Created at: April 29, 2026, 7:30 p.m.