Triple

T12983585
Position Surface form Disambiguated ID Type / Status
Subject the knight without fear and beyond reproach E321711 entity
Predicate moralConnotation P46135 FINISHED
Object without fear 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: without fear | Statement: [the knight without fear and beyond reproach, moralConnotation, without fear]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: moralConnotation
Context triple: [the knight without fear and beyond reproach, moralConnotation, without fear]
  • A. moralAttitude
    Indicates a subject’s evaluative stance or judgment about the moral rightness or wrongness of another entity, action, or situation.
  • B. moralAssociation
    Indicates a perceived ethical or moral connection between entities, such as one influencing or reflecting the moral character, values, or judgment of the other.
  • C. moralTone chosen
    Indicates the evaluative moral quality or ethical character expressed in or associated with an action, statement, or situation.
  • D. moralImplication
    Indicates that one situation, action, or state of affairs entails or suggests a particular moral judgment, obligation, or ethical consequence.
  • E. moralConcept
    Indicates that one entity represents or embodies a moral or ethical concept in relation to another.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97f2a71a0819098bb6cf8a4b2208a completed April 10, 2026, 10:52 p.m.
PD Predicate disambiguation batch_69d97dbdd94c8190ac4bbecca02dc77b completed April 10, 2026, 10:46 p.m.
Created at: April 9, 2026, 8:39 p.m.