Triple

T12633966
Position Surface form Disambiguated ID Type / Status
Subject Agunot E301710 entity
Predicate modernResponse P106130 FINISHED
Object halakhicPrenuptialAgreements 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: halakhicPrenuptialAgreements | Statement: [Agunot, modernResponse, halakhicPrenuptialAgreements]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: modernResponse
Context triple: [Agunot, modernResponse, halakhicPrenuptialAgreements]
  • A. modernUse
    Indicates how something is currently used or applied in modern times.
  • B. modernAccess
    Indicates that an entity has contemporary, up-to-date means or methods of accessing or interacting with another entity or resource.
  • C. modernStatus
    Indicates the current or contemporary condition, classification, or standing of an entity in the present time.
  • D. modernEquivalent
    Indicates that one entity serves as the contemporary or updated counterpart of another earlier or traditional entity.
  • E. modernExample
    Indicates that something serves as a contemporary or current-day instance or illustration of something else.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961ae493481908f82e0d05dce20bd completed April 10, 2026, 8:46 p.m.
PD Predicate disambiguation batch_69d960b47130819097e1162ed4fc993a completed April 10, 2026, 8:42 p.m.
PDg Predicate description generation batch_69d961acadb8819098de743bc951fedb completed April 10, 2026, 8:46 p.m.
Created at: April 9, 2026, 5:15 p.m.