Triple

T26472977
Position Surface form Disambiguated ID Type / Status
Subject Speaker pro tempore E665949 entity
Predicate actsInAbsenceOf P127541 FINISHED
Object Speaker 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: Speaker | Statement: [Speaker pro tempore, actsInAbsenceOf, Speaker]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: actsInAbsenceOf
Context triple: [Speaker pro tempore, actsInAbsenceOf, Speaker]
  • A. notableAbsence
    Indicates that something or someone is conspicuously missing from a context where their presence would normally be expected or significant.
  • B. succeedsInAbsenceOf
    Indicates that one entity successfully achieves or maintains something only when another specified entity or condition is not present.
  • C. actsInSteadOf chosen
    Indicates that one entity performs an action or fulfills a role as a substitute or proxy for another entity.
  • D. airedAs
    Indicates that one media work was broadcast or presented under a particular title, format, or version.
  • E. declaredDeadInAbsentia
    Indicates that an individual has been legally pronounced dead despite their physical absence or lack of a recovered body.
  • 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_69ee883f80dc819090e311b022b78e02 completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f612ca2eac8190a1b97d0bacd9b20c completed May 2, 2026, 3:05 p.m.
PD Predicate disambiguation batch_69f602d5c8808190a1fdbebd6f0981e8 completed May 2, 2026, 1:57 p.m.
Created at: April 27, 2026, 12:21 a.m.