Triple

T20358069
Position Surface form Disambiguated ID Type / Status
Subject Rémi Ochlik E496702 entity
Predicate givenName P17 FINISHED
Object Rémi
Rémi is a French given name commonly used for males, derived from the Latin name Remigius.
 E1426802 NE FINISHED

How this triple was built (4 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: Rémi | Statement: [Rémi Ochlik, givenName, Rémi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rémi
Context triple: [Rémi Ochlik, givenName, Rémi]
  • A. Hervé
    Hervé is a French given name, often considered a variant of the English name Harvey, and is commonly used for males in French-speaking regions.
  • B. Benoît
    Benoît is the French form of the given name Benedict, commonly used in French-speaking countries.
  • C. Clément
    Clément is a French given name, equivalent to Clement in English, commonly used for males.
  • D. Christophe
    Christophe is a French theoretical physicist and science communicator known for his popular science books and collaborations with Stephen Hawking.
  • E. Christophe
    Christophe is a French surname borne by individuals such as Anne-Athénaïre Christophe.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Rémi
Triple: [Rémi Ochlik, givenName, Rémi]
Generated description
Rémi is a French given name commonly used for males, derived from the Latin name Remigius.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rémi
Target entity description: Rémi is a French given name commonly used for males, derived from the Latin name Remigius.
  • A. Hervé
    Hervé is a French given name, often considered a variant of the English name Harvey, and is commonly used for males in French-speaking regions.
  • B. Benoît
    Benoît is the French form of the given name Benedict, commonly used in French-speaking countries.
  • C. Clément
    Clément is a French given name, equivalent to Clement in English, commonly used for males.
  • D. Christophe
    Christophe is a French theoretical physicist and science communicator known for his popular science books and collaborations with Stephen Hawking.
  • E. Christophe
    Christophe is a French surname borne by individuals such as Anne-Athénaïre Christophe.
  • F. None of above. chosen

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_69e0b4a3f7f48190b37f354574028ca6 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67855c3a88190b88839a47d01184d completed April 20, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a087083b5108190a94f0a9dc405904c completed May 16, 2026, 1:26 p.m.
NEDg Description generation batch_6a0870fd8b8c8190ac7ac5d2b0d9e8c4 completed May 16, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_6a087213a0408190a9b553323d7ced1f completed May 16, 2026, 1:33 p.m.
Created at: April 16, 2026, 11:25 a.m.