Triple

T15609642
Position Surface form Disambiguated ID Type / Status
Subject Jeanne de Casalis E375252 entity
Predicate notableWork P4 FINISHED
Object Mrs. Feather
Mrs. Feather is a comic character created and performed by Jeanne de Casalis, best known from her popular British radio monologues in the 1930s and 1940s.
 E1166979 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: Mrs. Feather | Statement: [Jeanne de Casalis, notableWork, Mrs. Feather]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mrs. Feather
Context triple: [Jeanne de Casalis, notableWork, Mrs. Feather]
  • A. Mavis
    Mavis is the Allied reporting name for the Kawanishi H6K, a Japanese World War II-era flying boat used primarily for maritime patrol and reconnaissance.
  • B. Mavis
    Mavis is a feminine given name of Old French origin, traditionally associated with the song thrush and used primarily in English-speaking countries.
  • C. Mavis
    Mavis is a character in Enid Blyton’s "Malory Towers" series, known as a talented but vain singer whose ambition often leads her into trouble.
  • D. Mavis
    Mavis is a central character in the animated Hotel Transylvania film series, known as Dracula’s spirited and independent vampire daughter.
  • E. Mavis
    Mavis is a fictional character who appears in the crime novel "The Drowning Pool."
  • 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: Mrs. Feather
Triple: [Jeanne de Casalis, notableWork, Mrs. Feather]
Generated description
Mrs. Feather is a comic character created and performed by Jeanne de Casalis, best known from her popular British radio monologues in the 1930s and 1940s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mrs. Feather
Target entity description: Mrs. Feather is a comic character created and performed by Jeanne de Casalis, best known from her popular British radio monologues in the 1930s and 1940s.
  • A. Mavis
    Mavis is the Allied reporting name for the Kawanishi H6K, a Japanese World War II-era flying boat used primarily for maritime patrol and reconnaissance.
  • B. Mavis
    Mavis is a feminine given name of Old French origin, traditionally associated with the song thrush and used primarily in English-speaking countries.
  • C. Mavis
    Mavis is a character in Enid Blyton’s "Malory Towers" series, known as a talented but vain singer whose ambition often leads her into trouble.
  • D. Mavis
    Mavis is a central character in the animated Hotel Transylvania film series, known as Dracula’s spirited and independent vampire daughter.
  • E. Mavis
    Mavis is a fictional character who appears in the crime novel "The Drowning Pool."
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e8024948190a6c711f2e5c2aac4 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56d76c108190aa3cae2d7e17c301 completed May 9, 2026, 3:46 p.m.
NEDg Description generation batch_69ff57c304188190afa695ae88cf0234 completed May 9, 2026, 3:50 p.m.
NED2 Entity disambiguation (via description) batch_69ff5920436c81909addad5bb4566ae9 completed May 9, 2026, 3:56 p.m.
Created at: April 10, 2026, 4:13 a.m.