Triple

T26260005
Position Surface form Disambiguated ID Type / Status
Subject Maurice Roche, 4th Baron Fermoy E656820 entity
Predicate father P120 FINISHED
Object James Roche, 3rd Baron Fermoy
James Roche, 3rd Baron Fermoy, was an Irish peer and member of the Roche family who held the Fermoy barony in the 19th century.
E1725399 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: James Roche, 3rd Baron Fermoy | Statement: [Maurice Roche, 4th Baron Fermoy, father, James Roche, 3rd Baron 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: James Roche, 3rd Baron Fermoy
Triple: [Maurice Roche, 4th Baron Fermoy, father, James Roche, 3rd Baron Fermoy]
Generated description
James Roche, 3rd Baron Fermoy, was an Irish peer and member of the Roche family who held the Fermoy barony in the 19th 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_6a11aea0f5b0819089a39b705d00abda completed May 23, 2026, 1:41 p.m.
NEDg Description generation batch_6a11b01df9348190a991161aa1fb8018 completed May 23, 2026, 1:48 p.m.
NED2 Entity disambiguation (via description) batch_6a11b1230c148190931c49c9df40caa4 completed May 23, 2026, 1:52 p.m.
Created at: April 26, 2026, 9:09 p.m.