Triple

T2260862
Position Surface form Disambiguated ID Type / Status
Subject Antoine Étex E50035 entity
Predicate familyName P18 FINISHED
Object Étex
Étex is a French surname most notably borne by Antoine Étex, a 19th-century sculptor, painter, and architect.
 E249243 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: Étex | Statement: [Antoine Étex, familyName, Étex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Étex
Context triple: [Antoine Étex, familyName, Étex]
  • A. Guarijío
    Guarijío is an indigenous Uto-Aztecan language spoken by the Guarijío people of northern Mexico, particularly in the states of Chihuahua and Sonora.
  • B. Mocorito
    Mocorito is a historic town and municipality in the Mexican state of Sinaloa, known for its colonial architecture and cultural traditions.
  • C. Chapala
    Chapala is a lakeside town in the Mexican state of Jalisco, known for its location on the shores of Lake Chapala, the country’s largest freshwater lake.
  • D. Zapatoca
    Zapatoca is a historic town and municipality in northeastern Colombia known for its colonial architecture, mild climate, and scenic Andean landscapes.
  • E. Teso
    Teso is a Nilotic language spoken primarily by the Iteso people in eastern Uganda and western Kenya.
  • 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: Étex
Triple: [Antoine Étex, familyName, Étex]
Generated description
Étex is a French surname most notably borne by Antoine Étex, a 19th-century sculptor, painter, and architect.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Étex
Target entity description: Étex is a French surname most notably borne by Antoine Étex, a 19th-century sculptor, painter, and architect.
  • A. Guarijío
    Guarijío is an indigenous Uto-Aztecan language spoken by the Guarijío people of northern Mexico, particularly in the states of Chihuahua and Sonora.
  • B. Mocorito
    Mocorito is a historic town and municipality in the Mexican state of Sinaloa, known for its colonial architecture and cultural traditions.
  • C. Chapala
    Chapala is a lakeside town in the Mexican state of Jalisco, known for its location on the shores of Lake Chapala, the country’s largest freshwater lake.
  • D. Zapatoca
    Zapatoca is a historic town and municipality in northeastern Colombia known for its colonial architecture, mild climate, and scenic Andean landscapes.
  • E. Teso
    Teso is a Nilotic language spoken primarily by the Iteso people in eastern Uganda and western Kenya.
  • 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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc18aa9d48190893ca32558730e9c completed March 7, 2026, 6:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71cb1540819093db7f91ae66c19f completed March 9, 2026, 7:07 a.m.
NEDg Description generation batch_69ae72a2b92c8190a7d4ff441f1cb1ce completed March 9, 2026, 7:11 a.m.
NED2 Entity disambiguation (via description) batch_69ae732a7cf08190b119ca7809350269 completed March 9, 2026, 7:13 a.m.
Created at: March 4, 2026, 7:48 p.m.