Triple

T8341267
Position Surface form Disambiguated ID Type / Status
Subject Armand Fallières E195919 entity
Predicate familyName P18 FINISHED
Object Fallières
Fallières is a French surname most notably borne by Armand Fallières, who served as President of France in the early 20th century.
 E752654 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: Fallières | Statement: [Armand Fallières, familyName, Fallières]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fallières
Context triple: [Armand Fallières, familyName, Fallières]
  • A. Fougères
    Fougères is a historic town in Brittany, northwestern France, known for its impressive medieval castle and well-preserved old quarter.
  • B. Douaumont
    Douaumont is a small commune in northeastern France best known for its World War I battlefield sites near Verdun, including major memorials and military cemeteries.
  • C. Seneffe
    Seneffe is a municipality in the province of Hainaut in Wallonia, Belgium, historically notable as the site of a major 17th-century battle during the Franco-Dutch War.
  • D. Fremault
    Fremault is the surname of American film and television actress Anita Louise.
  • E. Villefontaine
    Villefontaine is a commune in the Isère department of southeastern France, known as a suburban town within the Grenoble urban area.
  • 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: Fallières
Triple: [Armand Fallières, familyName, Fallières]
Generated description
Fallières is a French surname most notably borne by Armand Fallières, who served as President of France in the early 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fallières
Target entity description: Fallières is a French surname most notably borne by Armand Fallières, who served as President of France in the early 20th century.
  • A. Fougères
    Fougères is a historic town in Brittany, northwestern France, known for its impressive medieval castle and well-preserved old quarter.
  • B. Douaumont
    Douaumont is a small commune in northeastern France best known for its World War I battlefield sites near Verdun, including major memorials and military cemeteries.
  • C. Seneffe
    Seneffe is a municipality in the province of Hainaut in Wallonia, Belgium, historically notable as the site of a major 17th-century battle during the Franco-Dutch War.
  • D. Fremault
    Fremault is the surname of American film and television actress Anita Louise.
  • E. Villefontaine
    Villefontaine is a commune in the Isère department of southeastern France, known as a suburban town within the Grenoble urban area.
  • 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_69ca82ecbdc481908a55cad8ca062d88 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fe8989481909b32d4bfd586372d completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf27cace5c8190b871c632a075cb0a completed April 3, 2026, 2:36 a.m.
NEDg Description generation batch_69cf2a6a91d48190aa7d45b0a010f261 completed April 3, 2026, 2:48 a.m.
NED2 Entity disambiguation (via description) batch_69cf2c0aace08190aca839c39e718c52 completed April 3, 2026, 2:55 a.m.
Created at: March 30, 2026, 5:58 p.m.