Triple

T36794434
Position Surface form Disambiguated ID Type / Status
Subject Byron Tiller E909140 entity
Predicate moralQuestionRaisedBy P81120 FINISHED
Object how far one should go for success 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: how far one should go for success | Statement: [Byron Tiller, moralQuestionRaisedBy, how far one should go for success]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: moralQuestionRaisedBy
Context triple: [Byron Tiller, moralQuestionRaisedBy, how far one should go for success]
  • A. hasMoralIssue chosen
    Indicates that there exists an ethical concern, dilemma, or conflict associated with the referenced entity or situation.
  • B. moralTest
    Indicates a situation or action in which an entity’s moral principles, values, or ethical integrity are challenged or evaluated.
  • C. hasMoralConflictAbout
    Indicates that an entity experiences internal ethical tension, doubt, or disagreement regarding another entity, action, 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. moralTurningPoint
    Indicates a pivotal moment in which an entity undergoes a significant change in moral stance, values, or ethical 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_69f76e7b98888190899b6478a82ad6ae completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7ca93bd0481909d6eee9e950001a1 completed May 3, 2026, 10:22 p.m.
PD Predicate disambiguation batch_69f7c89b528c8190bf80b230fc7c7108 completed May 3, 2026, 10:13 p.m.
Created at: May 3, 2026, 4:12 p.m.