Triple

T1403355
Position Surface form Disambiguated ID Type / Status
Subject Hosni Mubarak E31634 entity
Predicate pardonStatus P27609 FINISHED
Object acquitted of some charges in later retrials 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: acquitted of some charges in later retrials | Statement: [Hosni Mubarak, pardonStatus, acquitted of some charges in later retrials]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: pardonStatus
Context triple: [Hosni Mubarak, pardonStatus, acquitted of some charges in later retrials]
  • A. pardonDate
    Indicates the date on which an official pardon for an offense is granted or takes effect.
  • B. pardonOrClemencyBy
    Indicates that an authority grants a pardon or clemency to someone, forgiving or reducing their legal penalties.
  • C. paroleHearings
    Indicates that one or more formal hearings are held to evaluate an incarcerated individual's eligibility or suitability for parole.
  • D. appealStatus
    Indicates the current state or outcome of an appeal within a review or decision process.
  • E. reliefGranted
    Indicates that a requested form of assistance, exemption, or remedy has been officially approved and provided.
  • 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_69a49918e1f88190ba610f9dc8114578 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3a0330c8190b22452d29c79fcf4 completed March 1, 2026, 10:54 p.m.
PD Predicate disambiguation batch_69a4bf030a388190bc82d30b9233e873 completed March 1, 2026, 10:34 p.m.
PDg Predicate description generation batch_69a4c11067b48190bca6ef3ac1475c20 completed March 1, 2026, 10:43 p.m.
Created at: March 1, 2026, 7:59 p.m.