Triple

T31737484
Position Surface form Disambiguated ID Type / Status
Subject Katherine Glasier E810043 entity
Predicate birthName P65 FINISHED
Object Katherine St John Conway
Katherine St John Conway, better known as Katherine Glasier, was a prominent British socialist, writer, and early Labour Party activist in the late 19th and early 20th centuries.
E1975543 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: Katherine St John Conway | Statement: [Katherine Glasier, birthName, Katherine St John Conway]
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: Katherine St John Conway
Triple: [Katherine Glasier, birthName, Katherine St John Conway]
Generated description
Katherine St John Conway, better known as Katherine Glasier, was a prominent British socialist, writer, and early Labour Party activist in the late 19th and early 20th centuries.

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_69f348e0e4908190a884582eca646fb7 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6ab24dc708190b7df11a2b968847d completed May 3, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b947b7f1081908744ceb064a496f7 completed June 12, 2026, 5:09 a.m.
NEDg Description generation batch_6a2b958e9ebc81909225029c40526808 completed June 12, 2026, 5:13 a.m.
NED2 Entity disambiguation (via description) batch_6a2b961cb34081909831c49b6c0ae48f completed June 12, 2026, 5:16 a.m.
Created at: April 30, 2026, 11:23 p.m.