Triple

T10288139
Position Surface form Disambiguated ID Type / Status
Subject Marthe E241286 entity
Predicate hasDiminutiveForm P456 FINISHED
Object Marthette
Marthette is a feminine given name, used as a diminutive or affectionate variant of the name Marthe.
E852193 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: Marthette | Statement: [Marthe, hasDiminutiveForm, Marthette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marthette
Context triple: [Marthe, hasDiminutiveForm, Marthette]
  • A. Marzelline
    Marzelline is a character in Beethoven's opera "Fidelio," portrayed as the jailer Rocco’s daughter who becomes romantically entangled with the disguised heroine.
  • B. Elysette
    Elysette is the official residence of the Minister-President of Wallonia, located in Namur, Belgium.
  • C. Marcelle
    Marcelle is a given name, typically a feminine form of Marcel, used in various cultures.
  • D. Azélie
    Azélie is a short story by Kate Chopin, included in her 1897 collection *A Night in Acadie*, that explores themes of love, culture, and identity in a Louisiana setting.
  • E. Madelaine
    Madelaine is a character in the Danish crime thriller film "The Salvation."
  • 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: Marthette
Triple: [Marthe, hasDiminutiveForm, Marthette]
Generated description
Marthette is a feminine given name, used as a diminutive or affectionate variant of the name Marthe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marthette
Target entity description: Marthette is a feminine given name, used as a diminutive or affectionate variant of the name Marthe.
  • A. Marzelline
    Marzelline is a character in Beethoven's opera "Fidelio," portrayed as the jailer Rocco’s daughter who becomes romantically entangled with the disguised heroine.
  • B. Elysette
    Elysette is the official residence of the Minister-President of Wallonia, located in Namur, Belgium.
  • C. Marcelle
    Marcelle is a given name, typically a feminine form of Marcel, used in various cultures.
  • D. Azélie
    Azélie is a short story by Kate Chopin, included in her 1897 collection *A Night in Acadie*, that explores themes of love, culture, and identity in a Louisiana setting.
  • E. Madelaine
    Madelaine is a character in the Danish crime thriller film "The Salvation."
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2b9d76c8190b1ef6ecf4c1a2a09 completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f8556f4081908390bc5c14dcf560 completed April 9, 2026, 12:52 a.m.
NEDg Description generation batch_69d6fcaee26c8190a19f7d07a63531f6 completed April 9, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69d6fd879ab88190b0a47295f5d7ad4d completed April 9, 2026, 1:14 a.m.
Created at: April 6, 2026, 11:41 a.m.