Triple

T1834312
Position Surface form Disambiguated ID Type / Status
Subject Édouard E41029 entity
Predicate hasShortForm P43 FINISHED
Object Édou
Édou is a shortened or familiar form of the French given name Édouard.
 E204038 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: Édou | Statement: [Édouard, hasShortForm, Édou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Édou
Context triple: [Édouard, hasShortForm, Édou]
  • A. Eugène
    Eugène is a masculine given name of French origin, derived from the Greek "Eugenios," meaning "well-born" or "noble."
  • B. Erwan
    Erwan is a Breton given name, closely related to the name Erwin, commonly used in Brittany and French-speaking regions.
  • C. Théodore
    Théodore is a masculine given name of Greek origin, commonly used in French-speaking countries and borne by notable figures such as the Reformation theologian Théodore Beza.
  • 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. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • 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: Édou
Triple: [Édouard, hasShortForm, Édou]
Generated description
Édou is a shortened or familiar form of the French given name Édouard.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Édou
Target entity description: Édou is a shortened or familiar form of the French given name Édouard.
  • A. Eugène
    Eugène is a masculine given name of French origin, derived from the Greek "Eugenios," meaning "well-born" or "noble."
  • B. Erwan
    Erwan is a Breton given name, closely related to the name Erwin, commonly used in Brittany and French-speaking regions.
  • C. Théodore
    Théodore is a masculine given name of Greek origin, commonly used in French-speaking countries and borne by notable figures such as the Reformation theologian Théodore Beza.
  • 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. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • 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_69a88647f9388190909bc36e795bdaec completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb02540dc819081b19a09562139cd completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf711c148190ba12d9bc81892095 completed March 8, 2026, 6:26 p.m.
NEDg Description generation batch_69adc080abb88190883c35943dc7cb10 completed March 8, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69adc13330888190a2b99c6fcbb97d49 completed March 8, 2026, 6:34 p.m.
Created at: March 4, 2026, 7:33 p.m.