Triple

T20613558
Position Surface form Disambiguated ID Type / Status
Subject Azariah (Book of Tobit) E506507 entity
Predicate knownBy P22660 FINISHED
Object Tobit NE NERFINISHED

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: Tobit | Statement: [Azariah (Book of Tobit), knownBy, Tobit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tobit
Context triple: [Azariah (Book of Tobit), knownBy, Tobit]
  • A. Tobit chosen
    Tobit is a deuterocanonical Jewish wisdom and adventure narrative, preserved in the Septuagint, that tells the story of a righteous Israelite and his son Tobias guided by the angel Raphael.
  • B. Tobit Raphael
    Tobit Raphael is an actor best known for his role as Yo-Yo Santos in the comedy film "The Internship."
  • C. Tobia
    Tobia is a small town in Colombia known for its lush river valley setting and popular adventure sports like rafting and canyoning.
  • D. Giona
    Giona is an Italian given name, equivalent to Jonah, with biblical origins and shared etymological roots with the name Yonas.
  • E. Hiob
    Hiob is the surname of Hanne Hiob, a German actress and daughter of the playwright Bertolt Brecht.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4bb2b4081908fa4a72444120f35 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aada19e481909363428ceda67603 completed April 20, 2026, 10:38 p.m.
Created at: April 16, 2026, 11:41 a.m.