Triple

T21076738
Position Surface form Disambiguated ID Type / Status
Subject Roman Catholic Diocese of Ajaccio E519254 entity
Predicate currentBishop P22833 FINISHED
Object François-Xavier Bustillo
François-Xavier Bustillo is a Spanish-born French Roman Catholic prelate and cardinal known for serving as bishop of Ajaccio in Corsica.
E2282812 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: François-Xavier Bustillo | Statement: [Roman Catholic Diocese of Ajaccio, currentBishop, François-Xavier Bustillo]
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: François-Xavier Bustillo
Triple: [Roman Catholic Diocese of Ajaccio, currentBishop, François-Xavier Bustillo]
Generated description
François-Xavier Bustillo is a Spanish-born French Roman Catholic prelate and cardinal known for serving as bishop of Ajaccio in Corsica.

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_69e0b506e59c8190849b71ed07929215 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e702d77b8081908ecfb05ab391fd39 completed April 21, 2026, 4:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a422b9edbd88190b303e6d47a98aa99 completed June 29, 2026, 8:23 a.m.
NEDg Description generation batch_6a422c27fcd48190b18dc28056a71a96 completed June 29, 2026, 8:26 a.m.
NED2 Entity disambiguation (via description) batch_6a422c7bb5008190ad708c4f89958071 completed June 29, 2026, 8:27 a.m.
Created at: April 16, 2026, 2:49 p.m.