Triple

T31431599
Position Surface form Disambiguated ID Type / Status
Subject Kenites E801810 entity
Predicate statusInIsraeliteTexts P116402 FINISHED
Object generally portrayed positively 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: generally portrayed positively | Statement: [Kenites, statusInIsraeliteTexts, generally portrayed positively]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: statusInIsraeliteTexts
Context triple: [Kenites, statusInIsraeliteTexts, generally portrayed positively]
  • A. statusInRabbinicLiterature
    Indicates how a person, concept, or text is regarded, classified, or treated within rabbinic literature and tradition.
  • B. statusUnderIsraeliLaw
    Indicates the legal standing or classification an entity holds according to Israeli law.
  • C. scripturalStatus
    Indicates the relationship between a text and its recognition or classification as scriptural, canonical, or authoritative within a religious or doctrinal tradition.
  • D. biblicalStatus chosen
    Indicates that one entity has a particular standing, role, or classification within a biblical or scriptural context in relation to another entity.
  • E. sacredTextStatus
    Indicates the status or classification of a text in terms of its recognized sacredness or religious authority within a tradition.
  • 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_69f348c475348190bf579ca858eec77c completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69fe5ec9028081909ae3d6fbe2f4cbbc completed May 8, 2026, 10:08 p.m.
PD Predicate disambiguation batch_69fe5e1d715881909fc516fafc707644 completed May 8, 2026, 10:05 p.m.
Created at: April 30, 2026, 8:58 p.m.