Triple

T29244494
Position Surface form Disambiguated ID Type / Status
Subject Earl of Glasgow E741400 entity
Predicate hasTitleHolder P1911 FINISHED
Object David Boyle, 9th Earl of Glasgow
David Boyle, 9th Earl of Glasgow, was a Scottish peer and Liberal politician who served as Governor of New Zealand from 1892 to 1897.
E1873346 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: David Boyle, 9th Earl of Glasgow | Statement: [Earl of Glasgow, hasTitleHolder, David Boyle, 9th Earl of Glasgow]
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: David Boyle, 9th Earl of Glasgow
Triple: [Earl of Glasgow, hasTitleHolder, David Boyle, 9th Earl of Glasgow]
Generated description
David Boyle, 9th Earl of Glasgow, was a Scottish peer and Liberal politician who served as Governor of New Zealand from 1892 to 1897.

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_69f0911dd6fc819097d1abb287016489 completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69f66488889c819098b7354fc2f72f90 completed May 2, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a262d46c0a88190a9034a0a903ba07f completed June 8, 2026, 2:47 a.m.
NEDg Description generation batch_6a26314b57148190a0af24a25603f189 completed June 8, 2026, 3:04 a.m.
NED2 Entity disambiguation (via description) batch_6a2631bfad188190a17e1492a2a03ab2 completed June 8, 2026, 3:06 a.m.
Created at: April 28, 2026, 12:32 p.m.