Triple

T4516879
Position Surface form Disambiguated ID Type / Status
Subject Pravin Gordhan E102172 entity
Predicate notableAllegationContext P52031 FINISHED
Object target of corruption-related charges later withdrawn LITERAL FINISHED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Phrase: target of corruption-related charges later withdrawn | Statement: [Pravin Gordhan, notableAllegationContext, target of corruption-related charges later withdrawn]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableAllegationContext
Context triple: [Pravin Gordhan, notableAllegationContext, target of corruption-related charges later withdrawn]
  • A. notableProsecutor
    Indicates that the person served as a prosecutor in a way that is widely recognized as significant or noteworthy.
  • B. notableInternalConflict
    Indicates a significant or historically important internal conflict occurring within an entity, such as a country, organization, or group.
  • C. hasNotableClaim
    Indicates that an entity is associated with a significant, widely recognized statement, assertion, or claim.
  • D. allegedAction chosen
    Indicates that an action is claimed or asserted to have occurred, typically without being proven or confirmed.
  • E. notableConflictWith
    Indicates a significant, recognized conflict or dispute that exists or has existed between the related entities.
  • 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_69bd43d6251c81909deecce3e6e9d69c completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5726983c8190bca116eeee54241c completed March 20, 2026, 2:18 p.m.
PD Predicate disambiguation batch_69bd521abea48190b3e758a1f98dd55e completed March 20, 2026, 1:56 p.m.
Created at: March 20, 2026, 1:02 p.m.