Triple

T9358609
Position Surface form Disambiguated ID Type / Status
Subject Dr. Heidegger’s Experiment E225214 entity
Predicate hasMoralConclusion P57332 FINISHED
Object Dr. Heidegger decides not to drink the elixir himself 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: Dr. Heidegger decides not to drink the elixir himself | Statement: [Dr. Heidegger’s Experiment, hasMoralConclusion, Dr. Heidegger decides not to drink the elixir himself]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMoralConclusion
Context triple: [Dr. Heidegger’s Experiment, hasMoralConclusion, Dr. Heidegger decides not to drink the elixir himself]
  • A. hasMoralPerspective
    Indicates that an entity holds or applies a particular moral or ethical viewpoint in evaluating actions, situations, or other entities.
  • B. hasMoralFraming
    Indicates that something is presented or interpreted in terms of moral values, judgments, or ethical considerations.
  • C. hasMoralCharacteristic
    Indicates that an entity possesses a particular moral quality, trait, or ethical attribute.
  • D. hasMoralIssue
    Indicates that there exists an ethical concern, dilemma, or conflict associated with the referenced entity or situation.
  • E. hasMoralMessage chosen
    Indicates that something conveys or embodies a lesson, value, or guidance about what is right or wrong behavior.
  • 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_69ca842bdd648190904131d58620d448 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4ff19ab48190a8d85c8ac2644c89 completed April 1, 2026, 5:03 p.m.
PD Predicate disambiguation batch_69cc7a68ab9481909f97cb70764697cc completed April 1, 2026, 1:52 a.m.
Created at: March 30, 2026, 7:42 p.m.