Triple

T1236739
Position Surface form Disambiguated ID Type / Status
Subject bar enash E26564 entity
Predicate scriptContextRole P24837 FINISHED
Object designation of a human-like figure in visions 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: designation of a human-like figure in visions | Statement: [bar enash, scriptContextRole, designation of a human-like figure in visions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scriptContextRole
Context triple: [bar enash, scriptContextRole, designation of a human-like figure in visions]
  • A. scriptType
    Indicates the classification or category of a script, specifying what kind of script it is (e.g., its format, purpose, or scripting language type).
  • B. scriptCategory
    Indicates the classification or type of script to which an entity (such as a written work, code, or performance text) belongs.
  • C. scriptSystem
    Indicates that one entity is the scripting or programming system used to control, configure, or automate the behavior of another entity.
  • D. scriptDirection
    Indicates the direction in which a writing system or script is read or written (e.g., left-to-right, right-to-left, top-to-bottom).
  • E. scriptVariantLanguage
    Indicates that a language is a variant distinguished by its writing system or script from another, related language form.
  • 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_69a4948571c88190a9191e451e6035fd completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf17e0bc8190a066561e6b629fc0 completed March 1, 2026, 10:35 p.m.
PD Predicate disambiguation batch_69a4bb67d52c8190815d6356b79d6ed5 completed March 1, 2026, 10:19 p.m.
PDg Predicate description generation batch_69a4bbf83584819088c69366f58586cc completed March 1, 2026, 10:21 p.m.
Created at: March 1, 2026, 7:47 p.m.