Triple

T18168183
Position Surface form Disambiguated ID Type / Status
Subject Uncle Billy Bailey E434949 entity
Predicate causesPlotEvent P122823 FINISHED
Object financial crisis for Bailey Brothers Building and Loan 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: financial crisis for Bailey Brothers Building and Loan | Statement: [Uncle Billy Bailey, causesPlotEvent, financial crisis for Bailey Brothers Building and Loan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: causesPlotEvent
Context triple: [Uncle Billy Bailey, causesPlotEvent, financial crisis for Bailey Brothers Building and Loan]
  • A. triggerEvent
    Indicates that one entity causes or initiates the occurrence of a specific event involving another entity or the system.
  • B. causeInStory chosen
    Indicates that one event, action, or state functions as the cause of another within the narrative structure of a story.
  • C. eventEffect
    Indicates the resulting change, outcome, or consequence that one event has on another state, entity, or event.
  • D. causeOfAction
    Indicates that one entity is the reason or basis for initiating a legal action or lawsuit against another entity.
  • E. causeOf
    Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
  • 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4df52f8b08190ab2c4d76b510cd28 completed April 19, 2026, 1:57 p.m.
PD Predicate disambiguation batch_69e4331baeb88190b21f50a98c36c78e completed April 19, 2026, 1:42 a.m.
Created at: April 10, 2026, 10:30 a.m.