Triple

T10419005
Position Surface form Disambiguated ID Type / Status
Subject Miss Overmore E245595 entity
Predicate associatedWithCharacter P1481 FINISHED
Object Mrs. Wix E245596 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. Wix | Statement: [Miss Overmore, associatedWithCharacter, Mrs. Wix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mrs. Wix
Context triple: [Miss Overmore, associatedWithCharacter, Mrs. Wix]
  • A. Mrs. Wix chosen
    Mrs. Wix is a morally rigid, impoverished governess who serves as a key guardian and moral counterpoint in Henry James’s novel "What Maisie Knew."
  • B. Mrs. Wiggins
    Mrs. Wiggins is a ditzy, slow-typing secretary character, famously portrayed by Carol Burnett in a recurring comedy sketch on her variety show.
  • C. Mrs. Wiggins
    Mrs. Wiggins is a minor resident character from the fictional town of Thneedville in Dr. Seuss’s "The Lorax" universe.
  • D. Winky
    Winky is a house-elf from the Harry Potter series, known for her loyalty, tragic fall from grace, and eventual employment at Hogwarts.
  • E. Martha May Whovier
    Martha May Whovier is a glamorous and kind-hearted resident of Whoville who serves as the Grinch’s love interest in the 2000 live-action adaptation of How the Grinch Stole Christmas.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea2938188190a908316d0a0959be completed April 7, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fc17c874819096b656056ed2dd8a completed April 9, 2026, 7:20 p.m.
Created at: April 6, 2026, 12:11 p.m.