Triple

T32210933
Position Surface form Disambiguated ID Type / Status
Subject The Adventure of the Three Students E822799 entity
Predicate characterRoleOfBannister P23263 FINISHED
Object college servant and former valet LITERAL 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: college servant and former valet | Statement: [The Adventure of the Three Students, characterRoleOfBannister, college servant and former valet]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: characterRoleOfBannister
Context triple: [The Adventure of the Three Students, characterRoleOfBannister, college servant and former valet]
  • A. leadActorForCharacterHudBannon
    Indicates that a person is the primary actor portraying the character Hud Bannon.
  • B. featuresCharacterRole chosen
    Indicates that a work includes a character appearing in a specific narrative or functional role.
  • C. bossCharacter
    Indicates that one character serves as the primary, often more powerful, opponent or leader that others must confront or overcome.
  • D. describesCharacterRole
    Indicates that one entity specifies or defines the narrative or functional role played by another entity.
  • E. bandMemberCharacter
    Indicates that a person is a member of a band in the role of a specific character or persona.
  • F. None of above.

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_69f3490a3bec819097bc58d4731b9d08 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fec8aef1d8819094c7fd7074038e6b completed May 9, 2026, 5:39 a.m.
PD Predicate disambiguation batch_69fec639876481908efd84a3631a4271 completed May 9, 2026, 5:29 a.m.
Created at: May 1, 2026, 12:37 a.m.