Triple

T19432966
Position Surface form Disambiguated ID Type / Status
Subject Peninnah E486160 entity
Predicate moralPortrayal P135865 FINISHED
Object depicted negatively for provoking Hannah 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: depicted negatively for provoking Hannah | Statement: [Peninnah, moralPortrayal, depicted negatively for provoking Hannah]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: moralPortrayal
Context triple: [Peninnah, moralPortrayal, depicted negatively for provoking Hannah]
  • A. moralTheme
    Indicates that a work, event, or situation embodies or conveys a particular ethical lesson, value, or moral principle.
  • B. moralAttitude
    Indicates a subject’s evaluative stance or judgment about the moral rightness or wrongness of another entity, action, or situation.
  • C. moralOutcome
    Indicates the moral or ethical status resulting from an action, event, or decision, such as whether it is judged right, wrong, good, or bad.
  • D. moralRealization
    Indicates the recognition or coming to understand a moral truth, principle, or ethical implication about a situation or action.
  • E. moralTone
    Indicates the evaluative moral quality or ethical character expressed in or associated with an action, statement, or situation.
  • F. None of above. chosen

Provenance (4 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6335c2d7481909a44b45d95492e02 completed April 20, 2026, 2:08 p.m.
PD Predicate disambiguation batch_69e4fd6e806081909053f325ba01ab6b completed April 19, 2026, 4:06 p.m.
PDg Predicate description generation batch_69e5004c23308190a087b7941a90725f completed April 19, 2026, 4:18 p.m.
Created at: April 10, 2026, 1:37 p.m.