Triple

T18304610
Position Surface form Disambiguated ID Type / Status
Subject Rages E438449 entity
Predicate associatedWith P37 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: [Rages, associatedWith, Tobit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tobit
Context triple: [Rages, associatedWith, 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5018256508190b024980e3a4a3ae9 completed April 19, 2026, 4:23 p.m.
Created at: April 10, 2026, 10:35 a.m.