Triple

T12633962
Position Surface form Disambiguated ID Type / Status
Subject Agunot E301710 entity
Predicate discussedIn P831 FINISHED
Object ResponsaLiterature E179768 NE 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: ResponsaLiterature | Statement: [Agunot, discussedIn, ResponsaLiterature]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ResponsaLiterature
Context triple: [Agunot, discussedIn, ResponsaLiterature]
  • A. Responsa chosen
    Responsa are written decisions and rulings by rabbinic authorities addressing questions of Jewish law and practice, forming a major body of halakhic literature.
  • B. Responsa
    Responsa is a renowned collection of legal opinions and case decisions by the Roman jurist Papinian, influential in the development of Roman and later European law.
  • C. literary review Littérature
    Littérature is an influential early 20th-century French literary review associated with the Dada and Surrealist movements.
  • D. LIT
    LIT is the IATA airport code for Bill and Hillary Clinton National Airport, the primary commercial airport serving Little Rock, Arkansas.
  • E. LIT
    LIT is the stock ticker symbol for Litton Industries, a former major American defense and electronics manufacturing company.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9610fab488190ac6e6d5cf056ae37 completed April 10, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f66871998c8190af8bd3f9ec596ada completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:15 p.m.