Triple

T207975
Position Surface form Disambiguated ID Type / Status
Subject Ketuvim E4649 entity
Predicate containsBook P5478 FINISHED
Object Chronicles E19796 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: Chronicles | Statement: [Ketuvim, containsBook, Chronicles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chronicles
Context triple: [Ketuvim, containsBook, Chronicles]
  • A. Chronicles chosen
    Chronicles is a biblical historical book that recounts and interprets the history of Israel and Judah, focusing on their kings, temple worship, and covenant relationship with God.
  • B. Chronicles: Volume One
    Chronicles: Volume One is Bob Dylan’s acclaimed memoir, offering reflective and impressionistic insights into his life, influences, and creative process.
  • C. Books of Kings
    The Books of Kings are historical and theological narratives in the Hebrew Bible/Old Testament that recount the reigns of Israel’s and Judah’s monarchs, the role of prophets, and the spiritual decline leading to exile.
  • D. The Twelve
    The Twelve is a collection of twelve shorter prophetic books in the Hebrew Bible, often treated as a single unified work within the Minor Prophets.
  • E. Codex
    Codex is an AI system developed by OpenAI that translates natural language into code and powers tools like GitHub Copilot.
  • 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_69a332c9e99081909026bf5bfeb6c86c completed Feb. 28, 2026, 6:24 p.m.
Created at: Feb. 28, 2026, 2:51 a.m.