Triple

T18669858
Position Surface form Disambiguated ID Type / Status
Subject Zenger trial E456443 entity
Predicate hasDefenseArgument P36520 FINISHED
Object truth should be a defense to libel 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: truth should be a defense to libel | Statement: [Zenger trial, hasDefenseArgument, truth should be a defense to libel]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDefenseArgument
Context triple: [Zenger trial, hasDefenseArgument, truth should be a defense to libel]
  • A. defenseArgument chosen
    Indicates that an entity presents or supports a line of reasoning intended to defend or justify another entity, often in a legal or argumentative context.
  • B. hasDefenseStrategy
    Indicates that an entity employs or is associated with a particular plan or set of measures designed to protect against threats or attacks.
  • C. defendedAs
    Indicates that one entity is presented, argued, or justified as being equivalent to or serving the role of another entity in a defensive or protective context.
  • D. hasDefensivePurpose
    Indicates that something exists or is designed with the primary goal of protection, defense, or safeguarding against threats or harm.
  • E. defendedOn
    Indicates that one entity protected, supported, or argued in favor of another entity during a specific time or event.
  • 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_69d8d38f72b4819090a935175d9ca8af completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e556b1140c81908002c27a33c03ae2 completed April 19, 2026, 10:26 p.m.
PD Predicate disambiguation batch_69e478db7a248190a8c6584673773923 completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 11:48 a.m.