Triple

T16348855
Position Surface form Disambiguated ID Type / Status
Subject Nessus E397005 entity
Predicate consequenceOfDeception P40708 FINISHED
Object Deianira smeared Nessus’ blood on Heracles’ garment 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: Deianira smeared Nessus’ blood on Heracles’ garment | Statement: [Nessus, consequenceOfDeception, Deianira smeared Nessus’ blood on Heracles’ garment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: consequenceOfDeception
Context triple: [Nessus, consequenceOfDeception, Deianira smeared Nessus’ blood on Heracles’ garment]
  • A. typeOfDeception
    Indicates the specific kind or category of deceptive act that one entity employs toward another or in a given context.
  • B. threatensDeceptionOf
    Indicates that one entity poses or communicates a risk of deceiving or misleading another entity.
  • C. causeOfBetrayal
    Indicates that one entity is the reason or motivating factor behind another entity’s act of betrayal.
  • D. hasConsequence
    Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
  • E. narrativeConsequence chosen
    Indicates that one event, action, or state occurs as a direct result or outcome of another within a narrative sequence.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2da10ef64819092633e8b32e98f5d completed April 18, 2026, 1:10 a.m.
PD Predicate disambiguation batch_69e226f37ecc819082af58b29b4e39d1 completed April 17, 2026, 12:26 p.m.
Created at: April 10, 2026, 5:07 a.m.