Triple

T3632616
Position Surface form Disambiguated ID Type / Status
Subject Dilsey Gibson E76991 entity
Predicate caresFor P636 FINISHED
Object Miss Quentin E77267 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: Miss Quentin | Statement: [Dilsey Gibson, caresFor, Miss Quentin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miss Quentin
Context triple: [Dilsey Gibson, caresFor, Miss Quentin]
  • A. Miss Quentin chosen
    Miss Quentin is a rebellious and troubled young woman in William Faulkner’s novel "The Sound and the Fury," whose defiance highlights the decay and dysfunction of the Compson family.
  • B. Miss Amy
    Miss Amy is a character from Truman Capote’s Southern Gothic novel "Other Voices, Other Rooms," embodying the eccentric and decaying gentility of the story’s rural Southern setting.
  • C. Madame
    Madame was the popular nickname of Henrietta of England, Duchess of Orléans, a 17th-century English princess who became a prominent figure at the French court of Louis XIV.
  • D. Miss Foster
    Miss Foster is a fictional character from the musical play "Lady in the Dark," which explores psychoanalysis and a woman's inner emotional life.
  • E. Madam
    "Madam" is a formal term of address for a woman, often used to show respect or politeness in social, professional, or official contexts.
  • 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_69ad85dd0be48190b738990cb20c4731 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc30251d881908284edeb7fe69ad8 completed March 8, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f1af1c48190a72effe80959bfb3 completed March 13, 2026, 5:53 p.m.
Created at: March 8, 2026, 3:23 p.m.