Triple

T26538518
Position Surface form Disambiguated ID Type / Status
Subject Arthur Charles Valerian Wellesley, Earl of Mornington E671319 entity
Predicate courtesyTitle P1914 FINISHED
Object Lord Douro
Lord Douro is the courtesy title of Arthur Charles Valerian Wellesley, a British aristocrat and heir apparent to the Duke of Wellington.
E1729009 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: Lord Douro | Statement: [Arthur Charles Valerian Wellesley, Earl of Mornington, courtesyTitle, Lord Douro]
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: Lord Douro
Triple: [Arthur Charles Valerian Wellesley, Earl of Mornington, courtesyTitle, Lord Douro]
Generated description
Lord Douro is the courtesy title of Arthur Charles Valerian Wellesley, a British aristocrat and heir apparent to the Duke of Wellington.

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_69eeb3206e748190b90c85cc81f38c91 completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f6142f6cf48190b310980b6f37a6f8 completed May 2, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11bb5317b481908399a599fd43e06e completed May 23, 2026, 2:36 p.m.
NEDg Description generation batch_6a11be7383f8819080e9eac79cf66e5e completed May 23, 2026, 2:49 p.m.
NED2 Entity disambiguation (via description) batch_6a11c02630cc81908b494c66f63abf6b completed May 23, 2026, 2:56 p.m.
Created at: April 27, 2026, 1:40 a.m.