Triple

T14771746
Position Surface form Disambiguated ID Type / Status
Subject Angels E347150 entity
Predicate doNot P4300 FINISHED
Object disobey God 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: disobey God | Statement: [Angels, doNot, disobey God]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: doNot
Context triple: [Angels, doNot, disobey God]
  • A. doesNot chosen
    Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
  • B. notAbout
    Indicates that a given entity, statement, or resource does not concern, reference, or pertain to another specified entity or topic.
  • C. doesNotAbolish
    Indicates that one entity, action, or law does not eliminate, revoke, or put an end to another.
  • D. ultimatelyDoesNot
    Indicates that, despite any preceding conditions or possibilities, the referenced entity or action does not in the end occur, hold, or get carried out.
  • E. doesNotBan
    Indicates that one entity allows or permits another entity or action by explicitly not prohibiting it.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec81334e08190a77d760e507d00ed completed April 14, 2026, 11:04 p.m.
PD Predicate disambiguation batch_69de8c02e5c08190943c27594026faf7 completed April 14, 2026, 6:48 p.m.
Created at: April 10, 2026, 1:31 a.m.