Triple

T11695145
Position Surface form Disambiguated ID Type / Status
Subject Christine Paulin-Mohring E277974 entity
Predicate familyName P18 FINISHED
Object Paulin-Mohring
Paulin-Mohring is the surname of French computer scientist Christine Paulin-Mohring, known for her work on the Coq proof assistant and contributions to formal methods.
 E941105 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: Paulin-Mohring | Statement: [Christine Paulin-Mohring, familyName, Paulin-Mohring]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paulin-Mohring
Context triple: [Christine Paulin-Mohring, familyName, Paulin-Mohring]
  • A. Marcelin
    Marcelin is a French diminutive form of the given name Marcel, often used as an affectionate or familiar variant.
  • B. Breuillet
    Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
  • C. Mauroy
    Mauroy is a French surname most notably associated with Pierre Mauroy, a former Prime Minister of France and prominent Socialist politician.
  • D. Monnier
    Monnier is a French surname borne by various notable figures in literature, arts, and public life.
  • E. Jeumont-Schneider
    Jeumont-Schneider was a French industrial and engineering company known for producing electrical equipment and rolling stock, including subway cars.
  • 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: Paulin-Mohring
Triple: [Christine Paulin-Mohring, familyName, Paulin-Mohring]
Generated description
Paulin-Mohring is the surname of French computer scientist Christine Paulin-Mohring, known for her work on the Coq proof assistant and contributions to formal methods.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paulin-Mohring
Target entity description: Paulin-Mohring is the surname of French computer scientist Christine Paulin-Mohring, known for her work on the Coq proof assistant and contributions to formal methods.
  • A. Marcelin
    Marcelin is a French diminutive form of the given name Marcel, often used as an affectionate or familiar variant.
  • B. Breuillet
    Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
  • C. Mauroy
    Mauroy is a French surname most notably associated with Pierre Mauroy, a former Prime Minister of France and prominent Socialist politician.
  • D. Monnier
    Monnier is a French surname borne by various notable figures in literature, arts, and public life.
  • E. Jeumont-Schneider
    Jeumont-Schneider was a French industrial and engineering company known for producing electrical equipment and rolling stock, including subway cars.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a47b9eb48190976a35e91e25b56b completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef1471cba88190a7abdcbf4f579ea9 completed April 27, 2026, 7:46 a.m.
NEDg Description generation batch_69ef511f8f688190b2806d4e8ab16511 completed April 27, 2026, 12:05 p.m.
NED2 Entity disambiguation (via description) batch_69ef537efcc48190afffaa50f28940d8 completed April 27, 2026, 12:15 p.m.
Created at: April 8, 2026, 9:40 p.m.