Triple

T10198732
Position Surface form Disambiguated ID Type / Status
Subject Adrienne Monnier E238829 entity
Predicate familyName P18 FINISHED
Object Monnier
Monnier is a French surname borne by various notable figures in literature, arts, and public life.
 E846820 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: Monnier | Statement: [Adrienne Monnier, familyName, Monnier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Monnier
Context triple: [Adrienne Monnier, familyName, Monnier]
  • A. Meunier
    Meunier is a black grape variety primarily used in Champagne production, valued for adding fruitiness and early maturity to sparkling wine blends.
  • B. Meunier
    Meunier is a common French occupational surname, historically referring to a miller.
  • C. Moynier
    Moynier is a Swiss surname most notably associated with Gustave Moynier, a co-founder and long-serving president of the International Committee of the Red Cross.
  • D. Marignier
    Marignier is a commune in the Haute-Savoie department of southeastern France, situated in the French Alps.
  • E. Montesson
    Montesson is a suburban commune in the Yvelines department of north-central France, located to the northwest of Paris along the Seine River.
  • 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: Monnier
Triple: [Adrienne Monnier, familyName, Monnier]
Generated description
Monnier is a French surname borne by various notable figures in literature, arts, and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Monnier
Target entity description: Monnier is a French surname borne by various notable figures in literature, arts, and public life.
  • A. Meunier
    Meunier is a black grape variety primarily used in Champagne production, valued for adding fruitiness and early maturity to sparkling wine blends.
  • B. Meunier
    Meunier is a common French occupational surname, historically referring to a miller.
  • C. Moynier
    Moynier is a Swiss surname most notably associated with Gustave Moynier, a co-founder and long-serving president of the International Committee of the Red Cross.
  • D. Marignier
    Marignier is a commune in the Haute-Savoie department of southeastern France, situated in the French Alps.
  • E. Montesson
    Montesson is a suburban commune in the Yvelines department of north-central France, located to the northwest of Paris along the Seine River.
  • 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_69ca84e1ea088190b38162e43d4cfa8f completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdee3dfa108190b2888385ef96de23 completed April 2, 2026, 4:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317eca3f88190a47009be6f96977e completed April 6, 2026, 2:18 a.m.
NEDg Description generation batch_69d319cb6e8c8190926bacedd18f5ded completed April 6, 2026, 2:26 a.m.
NED2 Entity disambiguation (via description) batch_69d31a5417f48190ac4449b44b555320 completed April 6, 2026, 2:28 a.m.
Created at: March 30, 2026, 9:14 p.m.