Triple

T26260160
Position Surface form Disambiguated ID Type / Status
Subject Roche family E656824 entity
Predicate hasMember P10 FINISHED
Object Maurice Roche, 8th Viscount Fermoy
Maurice Roche, 8th Viscount Fermoy, was an Irish peer and politician who served as a representative nobleman in the Irish House of Lords in the 18th century.
E1740231 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: Maurice Roche, 8th Viscount Fermoy | Statement: [Roche family, hasMember, Maurice Roche, 8th Viscount Fermoy]
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: Maurice Roche, 8th Viscount Fermoy
Triple: [Roche family, hasMember, Maurice Roche, 8th Viscount Fermoy]
Generated description
Maurice Roche, 8th Viscount Fermoy, was an Irish peer and politician who served as a representative nobleman in the Irish House of Lords in the 18th 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_69ee5b4e21bc819082be98bc9ab09796 completed April 26, 2026, 6:37 p.m.
NER Named-entity recognition batch_69f60dfdd57c81908d069fc4b8124ff7 completed May 2, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12091b6b3c819081d778fa59a2b6a5 completed May 23, 2026, 8:07 p.m.
NEDg Description generation batch_6a120a10905c819096fa77fad68b6bb8 completed May 23, 2026, 8:12 p.m.
NED2 Entity disambiguation (via description) batch_6a120aeed5ec819097f7ac08533bcf65 completed May 23, 2026, 8:15 p.m.
Created at: April 26, 2026, 9:10 p.m.