Triple

T3372605
Position Surface form Disambiguated ID Type / Status
Subject Matthew E70988 entity
Predicate hasCognate P2525 FINISHED
Object Mathieu
Mathieu is the French form of the given name Matthew, commonly used in French-speaking countries.
 E354154 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: Mathieu | Statement: [Matthew, hasCognate, Mathieu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mathieu
Context triple: [Matthew, hasCognate, Mathieu]
  • A. Élie
    Élie is a French given name most notably borne by the influential mathematician Élie Cartan.
  • B. Leonhard
    Leonhard is a masculine given name most famously borne by the prolific 18th-century Swiss mathematician and physicist Leonhard Euler.
  • C. Mahoudeau
    Mahoudeau is a sculptor character in Émile Zola’s novel "L’Œuvre," representing the struggles and ideals of avant-garde artists in 19th-century Paris.
  • D. Laurent
    Laurent is a Belgian prince, the younger son of King Albert II and Queen Paola, known for his environmental interests and occasional public controversies.
  • E. Eugène
    Eugène is a masculine given name of French origin, derived from the Greek "Eugenios," meaning "well-born" or "noble."
  • 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: Mathieu
Triple: [Matthew, hasCognate, Mathieu]
Generated description
Mathieu is the French form of the given name Matthew, commonly used in French-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mathieu
Target entity description: Mathieu is the French form of the given name Matthew, commonly used in French-speaking countries.
  • A. Élie
    Élie is a French given name most notably borne by the influential mathematician Élie Cartan.
  • B. Leonhard
    Leonhard is a masculine given name most famously borne by the prolific 18th-century Swiss mathematician and physicist Leonhard Euler.
  • C. Mahoudeau
    Mahoudeau is a sculptor character in Émile Zola’s novel "L’Œuvre," representing the struggles and ideals of avant-garde artists in 19th-century Paris.
  • D. Laurent
    Laurent is a Belgian prince, the younger son of King Albert II and Queen Paola, known for his environmental interests and occasional public controversies.
  • E. Eugène
    Eugène is a masculine given name of French origin, derived from the Greek "Eugenios," meaning "well-born" or "noble."
  • 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_69ad85a729d48190afd789cd8417f289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2bdcf70819087fc7e00fbd61e0d completed March 8, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3343fd8a08190bf426884ec42948c completed March 12, 2026, 9:46 p.m.
NEDg Description generation batch_69b334e5171c8190a01bb6fef5644825 completed March 12, 2026, 9:49 p.m.
NED2 Entity disambiguation (via description) batch_69b3390c50b08190b6239b5f0d1eb4ba completed March 12, 2026, 10:07 p.m.
Created at: March 8, 2026, 3:13 p.m.