Triple

T207630
Position Surface form Disambiguated ID Type / Status
Subject Eastern Orthodox canon E4642 entity
Predicate includesBook P1393 FINISHED
Object Tobit E21597 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: Tobit | Statement: [Eastern Orthodox canon, includesBook, Tobit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tobit
Context triple: [Eastern Orthodox canon, includesBook, 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. Jerome
    Jerome was an early Christian scholar and theologian best known for translating the Bible into Latin (the Vulgate) and for his influential biblical commentaries.
  • C. Baruch
    Baruch is a deuterocanonical book of the Old Testament, traditionally attributed to Baruch ben Neriah, the scribe and companion of the prophet Jeremiah.
  • D. Gabriel
    Gabriel is a common masculine given name of Hebrew origin, widely used in many cultures and languages.
  • E. Anton
    Anton is a masculine given name of Latin origin, commonly used in various European and Slavic countries.
  • 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_69a25737567c81908f9c505300239181 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c071fac81908f706d1384281182 completed Feb. 28, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69a362b97500819088c4f547f6ee38d4 completed Feb. 28, 2026, 9:48 p.m.
Created at: Feb. 28, 2026, 2:51 a.m.