Triple

T37888149
Position Surface form Disambiguated ID Type / Status
Subject Septimus Warren Smith E945053 entity
Predicate consults P488 FINISHED
Object Sir William Bradshaw
Sir William Bradshaw is a prominent and authoritative London psychiatrist in Virginia Woolf’s novel "Mrs Dalloway," known for his rigid, oppressive approach to mental illness.
 E2246184 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: Sir William Bradshaw | Statement: [Septimus Warren Smith, consults, Sir William Bradshaw]
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: Sir William Bradshaw
Triple: [Septimus Warren Smith, consults, Sir William Bradshaw]
Generated description
Sir William Bradshaw is a prominent and authoritative London psychiatrist in Virginia Woolf’s novel "Mrs Dalloway," known for his rigid, oppressive approach to mental illness.

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_69f76ef02668819089e7940c4001af5e completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbbd232ea081909d45e99e4f54aeac completed May 6, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4104335c888190a45d806bc2f196c7 completed June 28, 2026, 11:23 a.m.
NEDg Description generation batch_6a410518c978819098c8b58f1db78284 completed June 28, 2026, 11:27 a.m.
NED2 Entity disambiguation (via description) batch_6a41057aa6c48190bb38aa82b5649d43 completed June 28, 2026, 11:28 a.m.
Created at: May 3, 2026, 4:19 p.m.