Triple

T5848096
Position Surface form Disambiguated ID Type / Status
Subject Marion E129761 entity
Predicate relatedName P3889 FINISHED
Object Marionne
Marionne is a given name, likely a variant or diminutive of the name Marion.
 E342621 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: Marionne | Statement: [Marion, relatedName, Marionne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marionne
Context triple: [Marion, relatedName, Marionne]
  • A. Madelaine
    Madelaine is a character in the Danish crime thriller film "The Salvation."
  • B. Pauletta
    Pauletta is a feminine given name, typically considered a diminutive or variant of Paula or Pauline.
  • C. Delphine
    Delphine is an epistolary novel by Madame de Staël that explores themes of love, social convention, and women's independence in late 18th-century French society.
  • D. Maryanne
    Maryanne is a feminine given name, often used in English-speaking countries as a variant of Mary Ann or Marianne.
  • E. Marjorie
    Marjorie is a feminine given name of French origin that has been widely used in English-speaking countries.
  • 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: Marionne
Triple: [Marion, relatedName, Marionne]
Generated description
Marionne is a given name, likely a variant or diminutive of the name Marion.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marionne
Target entity description: Marionne is a given name, likely a variant or diminutive of the name Marion.
  • A. Madelaine
    Madelaine is a character in the Danish crime thriller film "The Salvation."
  • B. Pauletta
    Pauletta is a feminine given name, typically considered a diminutive or variant of Paula or Pauline.
  • C. Delphine
    Delphine is an epistolary novel by Madame de Staël that explores themes of love, social convention, and women's independence in late 18th-century French society.
  • D. Maryanne chosen
    Maryanne is a feminine given name, often used in English-speaking countries as a variant of Mary Ann or Marianne.
  • E. Marjorie
    Marjorie is a feminine given name of French origin that has been widely used in English-speaking countries.
  • 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_69c0084bd31c8190a796bb6284845e83 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03512d3548190920ac882189500d9 completed March 22, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1ad4d888190b4a1e605887b2e2c completed March 23, 2026, 2:13 a.m.
NEDg Description generation batch_69c0a27765688190b02a1b0cd39a87fe completed March 23, 2026, 2:16 a.m.
NED2 Entity disambiguation (via description) batch_69c0a2ff1a948190b4ac9e6e5941ef62 completed March 23, 2026, 2:18 a.m.
Created at: March 22, 2026, 3:55 p.m.