Triple

T29997968
Position Surface form Disambiguated ID Type / Status
Subject George Harry Booth-Grey, 6th Earl of Stamford E762081 entity
Predicate ordinalInTitle P18767 FINISHED
Object 6th Earl of Stamford
The 6th Earl of Stamford was a British peer from the Booth-Grey family who held the hereditary title in the English nobility during the 19th century.
E1898273 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: 6th Earl of Stamford | Statement: [George Harry Booth-Grey, 6th Earl of Stamford, ordinalInTitle, 6th Earl of Stamford]
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: 6th Earl of Stamford
Triple: [George Harry Booth-Grey, 6th Earl of Stamford, ordinalInTitle, 6th Earl of Stamford]
Generated description
The 6th Earl of Stamford was a British peer from the Booth-Grey family who held the hereditary title in the English nobility during the 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_69f224695498819094a81037cad401e2 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f6794c44c881908db0716b99c32481 completed May 2, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a274308a14081909c9221316bebece4 completed June 8, 2026, 10:32 p.m.
NEDg Description generation batch_6a2743e893708190a11e3888456906bb completed June 8, 2026, 10:36 p.m.
NED2 Entity disambiguation (via description) batch_6a274507fa3c819098819c5b1c2c4133 completed June 8, 2026, 10:41 p.m.
Created at: April 29, 2026, 6:40 p.m.