Triple

T7981798
Position Surface form Disambiguated ID Type / Status
Subject Saint Martin and the Beggar E185585 entity
Predicate subjectStatus P127 FINISHED
Object destitute man (the beggar) 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: destitute man (the beggar) | Statement: [Saint Martin and the Beggar, subjectStatus, destitute man (the beggar)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: subjectStatus
Context triple: [Saint Martin and the Beggar, subjectStatus, destitute man (the beggar)]
  • A. status chosen
    Indicates the current condition, state, or standing of an entity within a given context.
  • B. submissionStatus
    Indicates the current state or phase of a submitted item within a review or processing workflow.
  • C. respondentStatus
    Indicates the current role, condition, or state of a respondent in relation to a survey, inquiry, or legal/administrative process.
  • D. statusIndicates
    Indicates that a particular status value conveys or reflects the current condition, state, or situation of an entity or process.
  • E. statusModel
    Indicates that an entity is associated with a particular status representation or status-handling model.
  • 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_69ca829a2cfc819083d591d58ec04075 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c28cb108190bca697600bbbf53b completed March 31, 2026, 3:14 a.m.
PD Predicate disambiguation batch_69cb048009a08190b4c577208a9f8f76 completed March 30, 2026, 11:17 p.m.
Created at: March 30, 2026, 5:15 p.m.