Triple

T2420734
Position Surface form Disambiguated ID Type / Status
Subject Regina Jonas E53410 entity
Predicate ordinationAsRabbi P38453 FINISHED
Object 1935 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: 1935 | Statement: [Regina Jonas, ordinationAsRabbi, 1935]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ordinationAsRabbi
Context triple: [Regina Jonas, ordinationAsRabbi, 1935]
  • A. roleInJudaism
    Indicates the specific religious, social, or institutional function an entity holds within the context of Judaism.
  • B. halachicCategory
    Indicates the classification of something according to Jewish legal (halachic) categories or rulings.
  • C. viewsHalakhaAs
    Indicates that one entity regards or interprets Halakha (Jewish law) in a particular way, such as considering it authoritative, binding, flexible, or symbolic.
  • D. halachicNote
    Indicates a relationship where one entity serves as a halachic (Jewish legal) note, comment, or annotation providing legal clarification or guidance about another entity.
  • E. halakhicApproach
    Indicates an entity’s method, stance, or interpretive framework for applying or understanding Jewish law (halakha) in practice.
  • 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc9f342e88190a430b02842ded418 completed March 7, 2026, 6:47 a.m.
PD Predicate disambiguation batch_69abc5a889948190b77de4ef6ac815a8 completed March 7, 2026, 6:28 a.m.
PDg Predicate description generation batch_69abc9f1ba608190b488874bed3533dd completed March 7, 2026, 6:47 a.m.
Created at: March 6, 2026, 9:42 p.m.