Triple

T29080834
Position Surface form Disambiguated ID Type / Status
Subject Christophe-Philippe Oberkampf E733976 entity
Predicate givenName P17 FINISHED
Object Christophe-Philippe
Christophe-Philippe is the given name of Christophe-Philippe Oberkampf, an 18th-century French industrialist best known for founding the famous Toile de Jouy textile manufactory.
E1849121 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: Christophe-Philippe | Statement: [Christophe-Philippe Oberkampf, givenName, Christophe-Philippe]
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: Christophe-Philippe
Triple: [Christophe-Philippe Oberkampf, givenName, Christophe-Philippe]
Generated description
Christophe-Philippe is the given name of Christophe-Philippe Oberkampf, an 18th-century French industrialist best known for founding the famous Toile de Jouy textile manufactory.

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_69f05b0c0f28819086eae6e84f2ae472 completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69f661436e94819082b59995ff184ef4 completed May 2, 2026, 8:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2537ac5be88190a4c9ec006ff4010b completed June 7, 2026, 9:19 a.m.
NEDg Description generation batch_6a253ceb46e881908db9b0d9421487e3 completed June 7, 2026, 9:42 a.m.
NED2 Entity disambiguation (via description) batch_6a253d4179508190970fff542eb9c4a0 completed June 7, 2026, 9:43 a.m.
Created at: April 28, 2026, 10:55 a.m.