Triple

T24542999
Position Surface form Disambiguated ID Type / Status
Subject Roger Martin du Gard E607146 entity
Predicate notableWork P4 FINISHED
Object Jean Barois
Jean Barois is a French novel by Roger Martin du Gard that follows the spiritual and ideological crisis of a man caught between Catholic faith and rationalist, Dreyfusard convictions in early 20th-century France.
E1783416 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: Jean Barois | Statement: [Roger Martin du Gard, notableWork, Jean Barois]
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: Jean Barois
Triple: [Roger Martin du Gard, notableWork, Jean Barois]
Generated description
Jean Barois is a French novel by Roger Martin du Gard that follows the spiritual and ideological crisis of a man caught between Catholic faith and rationalist, Dreyfusard convictions in early 20th-century France.

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_69e2c4c9bf94819082d05da6f5c29907 completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2a8c72ce88190bba8567d7e5ad872 completed April 30, 2026, 12:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a12da5bf38481908d247051af42bb60 completed May 24, 2026, 11 a.m.
NEDg Description generation batch_6a12daf3e7948190bb82f9eac6800971 completed May 24, 2026, 11:03 a.m.
NED2 Entity disambiguation (via description) batch_6a12db74542081909ede3d27600fb26b completed May 24, 2026, 11:05 a.m.
Created at: April 18, 2026, 2:26 a.m.