Triple

T25347546
Position Surface form Disambiguated ID Type / Status
Subject The Counterfeiters E635591 entity
Predicate hasMainCharacter P1183 FINISHED
Object Bernard Profitendieu
Bernard Profitendieu is a central adolescent character in André Gide’s novel "The Counterfeiters," whose personal and moral development reflects the book’s exploration of authenticity, identity, and social convention.
E1700977 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: Bernard Profitendieu | Statement: [The Counterfeiters, hasMainCharacter, Bernard Profitendieu]
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: Bernard Profitendieu
Triple: [The Counterfeiters, hasMainCharacter, Bernard Profitendieu]
Generated description
Bernard Profitendieu is a central adolescent character in André Gide’s novel "The Counterfeiters," whose personal and moral development reflects the book’s exploration of authenticity, identity, and social convention.

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_69e75a9ac5d881909387ed766e20cd47 completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f498bd7e648190855fcf9e2ee4c762 completed May 1, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10ec86b7e48190945094ca2b387e68 completed May 22, 2026, 11:53 p.m.
NEDg Description generation batch_6a10ee7a469881908be91b7901ada3a2 completed May 23, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_6a10ef6795e08190a1ba5f600628316b completed May 23, 2026, 12:05 a.m.
Created at: April 21, 2026, 1:34 p.m.