Triple

T15849520
Position Surface form Disambiguated ID Type / Status
Subject Psalm 106 E384298 entity
Predicate partOf P40 FINISHED
Object Ketuvim E4649 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: Ketuvim | Statement: [Psalm 106, partOf, Ketuvim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ketuvim
Context triple: [Psalm 106, partOf, Ketuvim]
  • A. Ketuvim chosen
    Ketuvim is the third section of the Hebrew Bible, comprising a diverse collection of poetic, wisdom, and historical writings central to Jewish scripture.
  • B. Neviim
    Neviim is the section of the Hebrew Bible that contains the prophetic books and historical narratives of the prophets in Judaism.
  • C. Commentary on Ketuvim
    Commentary on Ketuvim is Malbim’s detailed exegetical work on the Writings section of the Hebrew Bible, known for its linguistic precision and emphasis on the uniqueness of biblical language.
  • D. Sefer ha-Te'amim
    Sefer ha-Te'amim is a medieval Hebrew work by Abraham ibn Ezra that explores the grammatical, exegetical, and often philosophical reasons (“ta‘amim”) behind biblical language and interpretation.
  • E. Sefer Zeraim
    Sefer Zeraim is the section of Maimonides’ Mishneh Torah that codifies Jewish agricultural laws and related commandments.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14caa3fa481909bd01f3b901d7716 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa145f2dc819092db805806b6e1d5 completed May 9, 2026, 9:04 p.m.
Created at: April 10, 2026, 4:50 a.m.