Triple

T28385362
Position Surface form Disambiguated ID Type / Status
Subject Earl Ranfurly E719004 entity
Predicate precededBy P97 FINISHED
Object David Boyle, 7th Earl of Glasgow
David Boyle, 7th Earl of Glasgow, was a Scottish nobleman and colonial administrator who served as Governor of New Zealand in the late 19th century.
E1837247 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, 7th Earl of Glasgow | Statement: [Earl Ranfurly, precededBy, David Boyle, 7th 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, 7th Earl of Glasgow
Triple: [Earl Ranfurly, precededBy, David Boyle, 7th Earl of Glasgow]
Generated description
David Boyle, 7th Earl of Glasgow, was a Scottish nobleman and colonial administrator who served as Governor of New Zealand in the late 19th 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_69eff6ef211081909d31d9be5f5567e6 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f64cba41748190a0cf070481fc7fd8 completed May 2, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24bb7daf2081909b4f39bf8e469801 completed June 7, 2026, 12:29 a.m.
NEDg Description generation batch_6a24c6be99c88190bc453b178830534f completed June 7, 2026, 1:17 a.m.
NED2 Entity disambiguation (via description) batch_6a24ca97cbcc81909259460b11b2df9a completed June 7, 2026, 1:34 a.m.
Created at: April 28, 2026, 1:09 a.m.