Triple

T8310210
Position Surface form Disambiguated ID Type / Status
Subject In Catilinam E194571 entity
Predicate fourthSpeechFocus P57655 FINISHED
Object debating the punishment of the conspirators 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: debating the punishment of the conspirators | Statement: [In Catilinam, fourthSpeechFocus, debating the punishment of the conspirators]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fourthSpeechFocus
Context triple: [In Catilinam, fourthSpeechFocus, debating the punishment of the conspirators]
  • A. focusesOn
    Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
  • B. fourthSingle
    Indicates that an entity is the fourth individual item or occurrence in a sequence, considered on its own rather than as part of a group.
  • C. fourthPartTitle chosen
    Indicates that the specified title is the fourth part in a sequence or multi-part work.
  • D. characterizationFocus
    Indicates that the primary emphasis or concern of a characterization is directed toward a particular aspect, feature, or dimension of the subject.
  • E. focusType
    Indicates the specific kind or category of focus or attention that is being applied to or associated with an entity or interaction.
  • 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f2d2c30819095075940479b75a7 completed March 31, 2026, 8 a.m.
PD Predicate disambiguation batch_69cb70bb3a708190bc705222092da614 completed March 31, 2026, 6:59 a.m.
Created at: March 30, 2026, 5:54 p.m.