Triple

T7977939
Position Surface form Disambiguated ID Type / Status
Subject Meunier E185492 entity
Predicate hasVariant P455 FINISHED
Object Lemeunier
Lemeunier is a French surname, likely a variant of "Meunier," which historically referred to a miller by occupation.
 E707843 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: Lemeunier | Statement: [Meunier, hasVariant, Lemeunier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lemeunier
Context triple: [Meunier, hasVariant, Lemeunier]
  • A. Dugommier
    Dugommier was a French Revolutionary general noted for his leadership in key campaigns such as the Siege of Toulon and the War of the Pyrenees.
  • B. Lemerig
    Lemerig is an endangered Oceanic language spoken by a small community on the island of Vanua Lava in northern Vanuatu.
  • C. Longuyon
    Longuyon is a commune in northeastern France’s Meurthe-et-Moselle department, near the borders with Belgium and Luxembourg, known for its strategic location and historical military presence.
  • D. Breuillet
    Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
  • E. Rebecq
    Rebecq is a municipality in the Belgian province of Walloon Brabant, known for its rural character and historic watermills.
  • 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: Lemeunier
Triple: [Meunier, hasVariant, Lemeunier]
Generated description
Lemeunier is a French surname, likely a variant of "Meunier," which historically referred to a miller by occupation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lemeunier
Target entity description: Lemeunier is a French surname, likely a variant of "Meunier," which historically referred to a miller by occupation.
  • A. Dugommier
    Dugommier was a French Revolutionary general noted for his leadership in key campaigns such as the Siege of Toulon and the War of the Pyrenees.
  • B. Lemerig
    Lemerig is an endangered Oceanic language spoken by a small community on the island of Vanua Lava in northern Vanuatu.
  • C. Longuyon
    Longuyon is a commune in northeastern France’s Meurthe-et-Moselle department, near the borders with Belgium and Luxembourg, known for its strategic location and historical military presence.
  • D. Breuillet
    Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
  • E. Rebecq
    Rebecq is a municipality in the Belgian province of Walloon Brabant, known for its rural character and historic watermills.
  • 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_69ca829851908190b4e03829353ee7c3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bf84b1081908e60a556d984aad6 completed March 31, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc5677968881908835169157244962 completed March 31, 2026, 11:19 p.m.
NEDg Description generation batch_69cc58a8f3d08190bec84dc1ba3b5b84 completed March 31, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_69cc5cb2963c81908a8dfbb1f84845bc completed March 31, 2026, 11:45 p.m.
Created at: March 30, 2026, 5:14 p.m.