Triple

T35089166
Position Surface form Disambiguated ID Type / Status
Subject John Milton Scudder E1012664 entity
Predicate employer P7 FINISHED
Object Eclectic Medical Institute
The Eclectic Medical Institute was a 19th-century American medical school associated with the Eclectic medicine movement, emphasizing botanical remedies and alternative medical practices.
E2125273 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: Eclectic Medical Institute | Statement: [John Milton Scudder, employer, Eclectic Medical Institute]
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: Eclectic Medical Institute
Triple: [John Milton Scudder, employer, Eclectic Medical Institute]
Generated description
The Eclectic Medical Institute was a 19th-century American medical school associated with the Eclectic medicine movement, emphasizing botanical remedies and alternative medical practices.

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_69f76dd432ec8190969bc32acfc152b1 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78bdaede0819086c38632ba4257c9 completed May 3, 2026, 5:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37cfeb8af88190bfc1aa9aa6d8f910 completed June 21, 2026, 11:50 a.m.
NEDg Description generation batch_6a37d0a8cc748190989640faa3a1c600 completed June 21, 2026, 11:53 a.m.
NED2 Entity disambiguation (via description) batch_6a37d140ec9481909f08dbd8c40d1ec7 completed June 21, 2026, 11:55 a.m.
Created at: May 3, 2026, 4:01 p.m.