Triple

T23308852
Position Surface form Disambiguated ID Type / Status
Subject Amon, king of Judah E590525 entity
Predicate attitudeTowardReform P151815 FINISHED
Object Did not humble himself before the LORD 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: Did not humble himself before the LORD | Statement: [Amon, king of Judah, attitudeTowardReform, Did not humble himself before the LORD]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: attitudeTowardReform
Context triple: [Amon, king of Judah, attitudeTowardReform, Did not humble himself before the LORD]
  • A. isReformOriented
    Indicates that an entity is oriented toward initiating, supporting, or implementing reforms or improvements within a system, policy, or practice.
  • B. advocatedReformOf
    Indicates that one entity publicly supported or promoted changes to another entity, typically aiming to improve or modify its structure, policies, or practices.
  • C. goalOfReforms
    Indicates that a reform or set of reforms is undertaken with the aim or intended objective of achieving a particular outcome.
  • D. typeOfReforms
    Indicates the specific kinds or categories of reforms associated with an entity or situation.
  • E. reform
    Indicates bringing about significant changes to an existing system, practice, or entity in order to improve or correct it.
  • 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_69e25d1d32188190948eb76909d1dcc3 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f197292fd08190bc364e1433dde213 completed April 29, 2026, 5:29 a.m.
PD Predicate disambiguation batch_69effcf325f88190b320268c3c551abb completed April 28, 2026, 12:18 a.m.
PDg Predicate description generation batch_69f01d88b4ec8190a2a17a88e0eda178 completed April 28, 2026, 2:38 a.m.
Created at: April 17, 2026, 5:05 p.m.