Triple

T15609657
Position Surface form Disambiguated ID Type / Status
Subject Jeanne de Casalis E375252 entity
Predicate notableRole P22 FINISHED
Object Mrs. Feather E1166979 NE FINISHED

How this triple was built (2 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, notableRole, Mrs. Feather]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mrs. Feather
Context triple: [Jeanne de Casalis, notableRole, Mrs. Feather]
  • A. Mrs. Feather chosen
    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.
  • B. 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.
  • C. Mavis
    Mavis is a feminine given name of Old French origin, traditionally associated with the song thrush and used primarily in English-speaking countries.
  • D. 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.
  • E. Mavis
    Mavis is a central character in the animated Hotel Transylvania film series, known as Dracula’s spirited and independent vampire daughter.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ff5f37383c81909d0efce84508a034 completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:13 a.m.