Triple

T32433482
Position Surface form Disambiguated ID Type / Status
Subject Henry Lascelles, 4th Earl of Harewood E828789 entity
Predicate honorificPrefix P536 FINISHED
Object The Earl of Harewood
The Earl of Harewood is a British peerage title historically associated with the Lascelles family and linked to the aristocratic and cultural life of Yorkshire.
E1106985 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: The Earl of Harewood | Statement: [Henry Lascelles, 4th Earl of Harewood, honorificPrefix, The Earl of Harewood]
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: The Earl of Harewood
Triple: [Henry Lascelles, 4th Earl of Harewood, honorificPrefix, The Earl of Harewood]
Generated description
The Earl of Harewood is a British peerage title historically associated with the Lascelles family and linked to the aristocratic and cultural life of Yorkshire.

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_69f3491bf298819097b610f772d54a6d completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c2b0108c81908aab3d55aaf9f8e5 completed May 3, 2026, 3:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34c65c56f0819083545dbf55f31f19 completed June 19, 2026, 4:32 a.m.
NEDg Description generation batch_6a34c6c79e9881909dd398413eff8a9d completed June 19, 2026, 4:34 a.m.
NED2 Entity disambiguation (via description) batch_6a34c733dadc819090dfe76aae531d10 completed June 19, 2026, 4:36 a.m.
Created at: May 1, 2026, 12:55 a.m.