Triple

T33095698
Position Surface form Disambiguated ID Type / Status
Subject Hope E846900 entity
Predicate hasNotableBearer P458 FINISHED
Object John Hope, Lord Hope of Craighead
John Hope, Lord Hope of Craighead is a prominent Scottish jurist who served as Lord President of the Court of Session and later as Deputy President of the Supreme Court of the United Kingdom.
E2039959 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: John Hope, Lord Hope of Craighead | Statement: [Hope, hasNotableBearer, John Hope, Lord Hope of Craighead]
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: John Hope, Lord Hope of Craighead
Triple: [Hope, hasNotableBearer, John Hope, Lord Hope of Craighead]
Generated description
John Hope, Lord Hope of Craighead is a prominent Scottish jurist who served as Lord President of the Court of Session and later as Deputy President of the Supreme Court of the United Kingdom.

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_69f3495590dc8190aa04f3dec74ce976 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d6a8ce608190a6a4673b434945e8 completed May 3, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3525b085b4819084f402104a641e65 completed June 19, 2026, 11:19 a.m.
NEDg Description generation batch_6a3527f6bb4c8190adb0e462f5d9f802 completed June 19, 2026, 11:28 a.m.
NED2 Entity disambiguation (via description) batch_6a3528d396dc8190941db4ef11a450d3 completed June 19, 2026, 11:32 a.m.
Created at: May 1, 2026, 1:26 a.m.