Triple

T33095667
Position Surface form Disambiguated ID Type / Status
Subject Hope E846900 entity
Predicate hasNotableBearer P458 FINISHED
Object Thomas Hope of Craighall
Thomas Hope of Craighall was a prominent 17th-century Scottish lawyer and statesman who served as Lord Advocate under King Charles I and played a key role in the legal and political affairs of Scotland.
E2036911 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: Thomas Hope of Craighall | Statement: [Hope, hasNotableBearer, Thomas Hope of Craighall]
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: Thomas Hope of Craighall
Triple: [Hope, hasNotableBearer, Thomas Hope of Craighall]
Generated description
Thomas Hope of Craighall was a prominent 17th-century Scottish lawyer and statesman who served as Lord Advocate under King Charles I and played a key role in the legal and political affairs of Scotland.

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_6a34f02b316481909ba457919ef0d8c7 completed June 19, 2026, 7:30 a.m.
NEDg Description generation batch_6a350b3510408190b027b5cbbfec61fa completed June 19, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_6a350fdc2f14819084a7d9eedf28c2a3 completed June 19, 2026, 9:46 a.m.
Created at: May 1, 2026, 1:26 a.m.