Triple

T12413843
Position Surface form Disambiguated ID Type / Status
Subject Nadar E296585 entity
Predicate familyName P18 FINISHED
Object Tournachon
Tournachon is the family name of Nadar, the pioneering 19th-century French photographer, caricaturist, and balloonist.
 E981171 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: Tournachon | Statement: [Nadar, familyName, Tournachon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tournachon
Context triple: [Nadar, familyName, Tournachon]
  • A. Boizel
    Boizel is a historic Champagne producer renowned for its elegant, terroir-driven sparkling wines crafted in Épernay, France.
  • B. La Gleize
    La Gleize is a village in the Belgian Ardennes best known as a major battlefield of the Battle of the Bulge during World War II.
  • C. Marcelin
    Marcelin is a French diminutive form of the given name Marcel, often used as an affectionate or familiar variant.
  • D. Surpierre
    Surpierre is a small municipality in the canton of Fribourg in western Switzerland.
  • E. Hautepierre
    Hautepierre is a residential district in the western part of Strasbourg, France, known for its large housing estates and local commercial centers.
  • 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: Tournachon
Triple: [Nadar, familyName, Tournachon]
Generated description
Tournachon is the family name of Nadar, the pioneering 19th-century French photographer, caricaturist, and balloonist.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tournachon
Target entity description: Tournachon is the family name of Nadar, the pioneering 19th-century French photographer, caricaturist, and balloonist.
  • A. Boizel
    Boizel is a historic Champagne producer renowned for its elegant, terroir-driven sparkling wines crafted in Épernay, France.
  • B. La Gleize
    La Gleize is a village in the Belgian Ardennes best known as a major battlefield of the Battle of the Bulge during World War II.
  • C. Marcelin
    Marcelin is a French diminutive form of the given name Marcel, often used as an affectionate or familiar variant.
  • D. Surpierre
    Surpierre is a small municipality in the canton of Fribourg in western Switzerland.
  • E. Hautepierre
    Hautepierre is a residential district in the western part of Strasbourg, France, known for its large housing estates and local commercial centers.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d6c4f6c8190bc99d3f7b64205c3 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6348ccaf88190aeb0dfb7fe1d8dec completed May 2, 2026, 5:29 p.m.
NEDg Description generation batch_69f635997b088190b6207fcac5594eb2 completed May 2, 2026, 5:34 p.m.
NED2 Entity disambiguation (via description) batch_69f636d9e13881908d3d08c6cf954304 completed May 2, 2026, 5:39 p.m.
Created at: April 8, 2026, 9:55 p.m.