Triple

T31602882
Position Surface form Disambiguated ID Type / Status
Subject Augustus FitzRoy, 3rd Duke of Grafton E806393 entity
Predicate child P120 FINISHED
Object Lord Henry FitzRoy
Lord Henry FitzRoy was a British aristocrat and politician of the 18th–19th century, known as a younger son of the influential FitzRoy ducal family.
E1972108 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 Henry FitzRoy | Statement: [Augustus FitzRoy, 3rd Duke of Grafton, child, Lord Henry FitzRoy]
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 Henry FitzRoy
Triple: [Augustus FitzRoy, 3rd Duke of Grafton, child, Lord Henry FitzRoy]
Generated description
Lord Henry FitzRoy was a British aristocrat and politician of the 18th–19th century, known as a younger son of the influential FitzRoy ducal family.

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_69f348d54ccc8190a03b5df9a2b40b25 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a86bb67481909a8362799c445010 completed May 3, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b79cac6fc8190bf80b182de80921d completed June 12, 2026, 3:15 a.m.
NEDg Description generation batch_6a2b7a866a408190a377ebe1dfb4b162 completed June 12, 2026, 3:18 a.m.
NED2 Entity disambiguation (via description) batch_6a2b7b5699c48190b83c080aa685a7b4 completed June 12, 2026, 3:21 a.m.
Created at: April 30, 2026, 10:33 p.m.