Triple

T8827333
Position Surface form Disambiguated ID Type / Status
Subject Montresor E210047 entity
Predicate timeOfConfession P84853 FINISHED
Object fifty years after the murder 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: fifty years after the murder | Statement: [Montresor, timeOfConfession, fifty years after the murder]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: timeOfConfession
Context triple: [Montresor, timeOfConfession, fifty years after the murder]
  • A. confession
    Indicates that one entity admits or discloses information, typically acknowledging guilt, responsibility, or a hidden truth, to another entity.
  • B. madePublicConfessionAt
    Indicates that an entity openly admitted or confessed something in a public setting at a specific time or place.
  • C. usesConfession
    Indicates that one entity employs or relies on a confession (typically an admission of guilt or wrongdoing) as part of its actions or reasoning toward another entity or outcome.
  • D. recognizesConfession
    Indicates that one entity acknowledges and accepts another entity’s admission of guilt or wrongdoing as a valid confession.
  • E. confessedTo
    Indicates that one entity admitted guilt or revealed the truth about an action, wrongdoing, or secret to another entity.
  • F. None of above. chosen

Provenance (4 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_69ca8365b28081909e48e45e95dfc405 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc6034e8dc819099116d772e87569a completed April 1, 2026, midnight
PD Predicate disambiguation batch_69cc5c23d08481908d8c9b0ad3d1dc00 completed March 31, 2026, 11:43 p.m.
PDg Predicate description generation batch_69cc5cff3608819081d2d7e5c16d44b7 completed March 31, 2026, 11:47 p.m.
Created at: March 30, 2026, 6:47 p.m.