Triple

T34402403
Position Surface form Disambiguated ID Type / Status
Subject Rutherford Alcock E883016 entity
Predicate educatedAt P5 FINISHED
Object Westminster Hospital Medical School
Westminster Hospital Medical School was a London-based medical school historically associated with Westminster Hospital, known for training physicians and surgeons before its eventual merger into larger medical education institutions.
E2096244 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: Westminster Hospital Medical School | Statement: [Rutherford Alcock, educatedAt, Westminster Hospital Medical School]
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: Westminster Hospital Medical School
Triple: [Rutherford Alcock, educatedAt, Westminster Hospital Medical School]
Generated description
Westminster Hospital Medical School was a London-based medical school historically associated with Westminster Hospital, known for training physicians and surgeons before its eventual merger into larger medical education institutions.

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_69f349c1f2208190a09a489bb8b2719d completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f7189b95048190802993ff2ef59cbe completed May 3, 2026, 9:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a371826a2348190b9969d548d0d08c1 completed June 20, 2026, 10:45 p.m.
NEDg Description generation batch_6a3718e147708190b72543eb2165bb5e completed June 20, 2026, 10:49 p.m.
NED2 Entity disambiguation (via description) batch_6a37195b2b9c8190a70d9deec095f539 completed June 20, 2026, 10:51 p.m.
Created at: May 1, 2026, 1:59 a.m.