Triple

T21473948
Position Surface form Disambiguated ID Type / Status
Subject Jean Echenoz E529804 entity
Predicate familyName P18 FINISHED
Object Echenoz
Echenoz is a French surname most notably borne by contemporary novelist Jean Echenoz, known for his inventive and playful literary style.
 E1486406 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: Echenoz | Statement: [Jean Echenoz, familyName, Echenoz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Echenoz
Context triple: [Jean Echenoz, familyName, Echenoz]
  • A. Echeandía
    Echeandía is a small town in central Ecuador known for its agricultural activities and rural Andean setting.
  • B. Benais
    Benais is a French commune in the Indre-et-Loire department of the Loire Valley, known for its vineyards and wine production.
  • C. Sepúlveda
    Sepúlveda is a historic town in Spain’s Segovia province, known for its medieval architecture, Romanesque churches, and its location at the gateway to the Hoces del Río Duratón Natural Park.
  • D. Oteiza
    Oteiza is a Basque surname most notably associated with the Spanish sculptor and artist Jorge Oteiza.
  • E. Moscoso
    Moscoso is the surname of Mireya Moscoso, the first female president of Panama.
  • 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: Echenoz
Triple: [Jean Echenoz, familyName, Echenoz]
Generated description
Echenoz is a French surname most notably borne by contemporary novelist Jean Echenoz, known for his inventive and playful literary style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Echenoz
Target entity description: Echenoz is a French surname most notably borne by contemporary novelist Jean Echenoz, known for his inventive and playful literary style.
  • A. Echeandía
    Echeandía is a small town in central Ecuador known for its agricultural activities and rural Andean setting.
  • B. Benais
    Benais is a French commune in the Indre-et-Loire department of the Loire Valley, known for its vineyards and wine production.
  • C. Sepúlveda
    Sepúlveda is a historic town in Spain’s Segovia province, known for its medieval architecture, Romanesque churches, and its location at the gateway to the Hoces del Río Duratón Natural Park.
  • D. Oteiza
    Oteiza is a Basque surname most notably associated with the Spanish sculptor and artist Jorge Oteiza.
  • E. Moscoso
    Moscoso is the surname of Mireya Moscoso, the first female president of Panama.
  • 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_69e0c459acb481909bb6ee452a0045c7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea156dac819087c4594d022d3df6 completed April 23, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09cff96dbc8190adae0f91749530e4 completed May 17, 2026, 2:26 p.m.
NEDg Description generation batch_6a09d08ffa3c8190b5ab7e4cbf78719f completed May 17, 2026, 2:28 p.m.
NED2 Entity disambiguation (via description) batch_6a09d18c77e481908a353d443d79b7ca completed May 17, 2026, 2:32 p.m.
Created at: April 16, 2026, 6:19 p.m.