Triple

T29997879
Position Surface form Disambiguated ID Type / Status
Subject Henry Grey, 1st Duke of Kent E762078 entity
Predicate child P120 FINISHED
Object Anthony Grey, Earl of Harold
Anthony Grey, Earl of Harold, was an English nobleman of the early 18th century and the son and heir apparent of Henry Grey, 1st Duke of Kent.
E1897899 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: Anthony Grey, Earl of Harold | Statement: [Henry Grey, 1st Duke of Kent, child, Anthony Grey, Earl of Harold]
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: Anthony Grey, Earl of Harold
Triple: [Henry Grey, 1st Duke of Kent, child, Anthony Grey, Earl of Harold]
Generated description
Anthony Grey, Earl of Harold, was an English nobleman of the early 18th century and the son and heir apparent of Henry Grey, 1st Duke of Kent.

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_6a273224db3081909829e1bfb09b8c16 completed June 8, 2026, 9:20 p.m.
NEDg Description generation batch_6a273412bb148190b807e5f7054478e3 completed June 8, 2026, 9:28 p.m.
NED2 Entity disambiguation (via description) batch_6a2734afdee081908b9e8400be7766da completed June 8, 2026, 9:31 p.m.
Created at: April 29, 2026, 6:40 p.m.