Triple

T1356169
Position Surface form Disambiguated ID Type / Status
Subject Homer Plessy E28992 entity
Predicate pardon P25700 FINISHED
Object posthumous pardon granted by State of Louisiana in 2022 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: posthumous pardon granted by State of Louisiana in 2022 | Statement: [Homer Plessy, pardon, posthumous pardon granted by State of Louisiana in 2022]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: pardon
Context triple: [Homer Plessy, pardon, posthumous pardon granted by State of Louisiana in 2022]
  • A. pardonDate
    Indicates the date on which an official pardon for an offense is granted or takes effect.
  • B. plea
    Indicates that a defendant formally states their response (such as guilty, not guilty, or no contest) to criminal charges in a legal proceeding.
  • C. pardonOrClemencyBy chosen
    Indicates that an authority grants a pardon or clemency to someone, forgiving or reducing their legal penalties.
  • D. apologizedFor
    Indicates that one entity expressed regret or remorse to another entity specifically about a particular action, event, or wrongdoing.
  • E. apologyIssued
    Indicates that one entity has expressed regret or remorse to another entity for a perceived wrong, mistake, or offense.
  • 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_69a498571d248190a0ac9eb02d97097f completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c28c8dd0819082f94c9e7c837c5f completed March 1, 2026, 10:49 p.m.
PD Predicate disambiguation batch_69a4bef7700c819099b294e8d9320e70 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:56 p.m.