Triple

T23593456
Position Surface form Disambiguated ID Type / Status
Subject Hobart family E582546 entity
Predicate hasMember P10 FINISHED
Object Sir Henry Hobart, 1st Baronet
Sir Henry Hobart, 1st Baronet, was an English lawyer and politician who served as Attorney General and later as Chief Justice of the Common Pleas in the early 17th century.
E1595799 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 Henry Hobart, 1st Baronet | Statement: [Hobart family, hasMember, Sir Henry Hobart, 1st Baronet]
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 Henry Hobart, 1st Baronet
Triple: [Hobart family, hasMember, Sir Henry Hobart, 1st Baronet]
Generated description
Sir Henry Hobart, 1st Baronet, was an English lawyer and politician who served as Attorney General and later as Chief Justice of the Common Pleas in the early 17th century.

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_69e248f9e0a08190814772847003b1ff completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b08d63dc81908c092a87cf61f2b9 completed April 29, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f457e5ae0819088c51b543e860e9a completed May 21, 2026, 5:48 p.m.
NEDg Description generation batch_6a0f4762e62c81908285cf6299f22250 completed May 21, 2026, 5:56 p.m.
NED2 Entity disambiguation (via description) batch_6a0f481aa71c8190bbbab462001d3586 completed May 21, 2026, 5:59 p.m.
Created at: April 17, 2026, 6:42 p.m.