Triple

T13645834
Position Surface form Disambiguated ID Type / Status
Subject Columbia E326097 entity
Predicate relatedConcept P37 FINISHED
Object Marianne
Marianne is the national personification of the French Republic, symbolizing liberty, reason, and the values of the nation.
 E406303 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: Marianne | Statement: [Columbia, relatedConcept, Marianne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marianne
Context triple: [Columbia, relatedConcept, Marianne]
  • A. Marianne
    Marianne is the national personification of the French Republic, symbolizing liberty, reason, and the values of the nation.
  • B. Marianne
    Marianne is a feminine given name of French origin that has been widely used in various cultures and is often associated with grace and classic elegance.
  • C. Marianne
    Marianne was a 19th-century Dutch princess of the House of Orange-Nassau, known for her independent spirit, unconventional personal life, and extensive patronage of the arts and architecture.
  • D. Marianne
    Marianne is the central female figure addressed in Leonard Cohen's song "So Long, Marianne," widely recognized as a muse-like character in his work.
  • E. Marianne
    Marianne is the central protagonist of the horror film "In Fabric," whose experiences with a cursed red dress drive the movie's surreal and unsettling narrative.
  • 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: Marianne
Triple: [Columbia, relatedConcept, Marianne]
Generated description
Marianne is the national personification of the French Republic, symbolizing liberty, reason, and the values of the nation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marianne
Target entity description: Marianne is the national personification of the French Republic, symbolizing liberty, reason, and the values of the nation.
  • A. Marianne
    Marianne was a 19th-century Dutch princess of the House of Orange-Nassau, known for her independent spirit, unconventional personal life, and extensive patronage of the arts and architecture.
  • B. Marianne chosen
    Marianne is the national personification of the French Republic, symbolizing liberty, reason, and the values of the nation.
  • C. Marianne
    Marianne is the central female figure addressed in Leonard Cohen's song "So Long, Marianne," widely recognized as a muse-like character in his work.
  • D. Marianne
    Marianne is a feminine given name of French origin that has been widely used in various cultures and is often associated with grace and classic elegance.
  • E. Marianne
    Marianne is the central protagonist of the horror film "In Fabric," whose experiences with a cursed red dress drive the movie's surreal and unsettling narrative.
  • F. None of above.

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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc60635d08190899806fe8936f02a completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78af948408190bca7f2e46863391e completed May 3, 2026, 5:50 p.m.
NEDg Description generation batch_69f78bd52b748190ab483ec7634a6549 completed May 3, 2026, 5:54 p.m.
NED2 Entity disambiguation (via description) batch_69f78d277c5c8190970cb3cd0fd32905 completed May 3, 2026, 6 p.m.
Created at: April 9, 2026, 9:51 p.m.