Triple

T29346506
Position Surface form Disambiguated ID Type / Status
Subject Free Will E744185 entity
Predicate claimsImplication P13993 FINISHED
Object traditional notions of moral responsibility must be revised 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: traditional notions of moral responsibility must be revised | Statement: [Free Will, claimsImplication, traditional notions of moral responsibility must be revised]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: claimsImplication
Context triple: [Free Will, claimsImplication, traditional notions of moral responsibility must be revised]
  • A. claimsEffect
    Indicates that one entity asserts or states that another entity has a particular effect or impact.
  • B. claimsToBe
    Indicates that one entity asserts or declares itself to have a particular identity, role, or property, regardless of whether this assertion is true.
  • C. policyImplication chosen
    Indicates that one policy, decision, or condition leads to, justifies, or necessitates another policy outcome or course of action.
  • D. claimedSee
    Indicates that one entity asserted or reported having seen or visually perceived another entity or event.
  • E. claimsToExplain
    Indicates that one entity asserts it can provide a clarification, account, or understanding of another entity or phenomenon.
  • 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_69f0a79a2d748190bc30abd469298b37 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f6cee45590819086e489bfccbe4ac3 completed May 3, 2026, 4:28 a.m.
PD Predicate disambiguation batch_69f6cc1188708190b8f0f56e595e6057 completed May 3, 2026, 4:16 a.m.
Created at: April 28, 2026, 2:02 p.m.