Triple

T3608311
Position Surface form Disambiguated ID Type / Status
Subject murder of Claudia Octavia E76425 entity
Predicate hasAllegation P16813 FINISHED
Object false charges of adultery against Claudia Octavia 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: false charges of adultery against Claudia Octavia | Statement: [murder of Claudia Octavia, hasAllegation, false charges of adultery against Claudia Octavia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAllegation
Context triple: [murder of Claudia Octavia, hasAllegation, false charges of adultery against Claudia Octavia]
  • A. hasAccuser
    Indicates that one entity serves as the accuser of another entity in a dispute, complaint, or allegation.
  • B. hasAllegedCreature
    Indicates that an entity is claimed or reported to possess, host, or be associated with a creature whose existence or nature is uncertain or disputed.
  • C. allegedStatus chosen
    Indicates that a particular status or condition is claimed or asserted about an entity, but has not been confirmed as true.
  • D. hasAppealsTo
    Indicates that one entity formally challenges or seeks review of a decision, judgment, or outcome through another entity or process.
  • E. accusedOf
    Indicates that one entity has formally alleged or claimed that another entity committed a specific wrongdoing 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_69ad85da0ba481908b3b48c69efe2b98 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc22a3cf081908c20b6fb55be0db2 completed March 8, 2026, 6:38 p.m.
PD Predicate disambiguation batch_69adb83d8b1c8190b3bddbc5dc995a87 completed March 8, 2026, 5:56 p.m.
Created at: March 8, 2026, 3:22 p.m.