Triple

T33180377
Position Surface form Disambiguated ID Type / Status
Subject Jean Villot E849305 entity
Predicate consecratedBy P3357 FINISHED
Object Pierre-Marie Gerlier
Pierre-Marie Gerlier was a prominent 20th-century French Roman Catholic cardinal and Archbishop of Lyon, noted for his leadership during World War II and his influence within the Church.
E2296957 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: Pierre-Marie Gerlier | Statement: [Jean Villot, consecratedBy, Pierre-Marie Gerlier]
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: Pierre-Marie Gerlier
Triple: [Jean Villot, consecratedBy, Pierre-Marie Gerlier]
Generated description
Pierre-Marie Gerlier was a prominent 20th-century French Roman Catholic cardinal and Archbishop of Lyon, noted for his leadership during World War II and his influence within the Church.

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_69f3495d06508190b0b7729982982cea completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d993e1048190a2e442091f6a180e completed May 3, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a82e667feb0819085165db53e409d0b completed Aug. 17, 2026, 10:46 a.m.
NEDg Description generation batch_6a82e6dcf6ec8190b056a64dc36f1a9d completed Aug. 17, 2026, 10:47 a.m.
NED2 Entity disambiguation (via description) batch_6a82e8e68c7c8190963b6ee00a4fca9b completed Aug. 17, 2026, 10:56 a.m.
Created at: May 1, 2026, 1:29 a.m.