Triple

T208073
Position Surface form Disambiguated ID Type / Status
Subject King Solomon E4651 entity
Predicate mother P120 FINISHED
Object Bathsheba E32067 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: Bathsheba | Statement: [King Solomon, mother, Bathsheba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bathsheba
Context triple: [King Solomon, mother, Bathsheba]
  • A. Bathsheba chosen
    Bathsheba is a prominent biblical figure known as the wife of King David and the mother of King Solomon.
  • B. Susanna
    Susanna is a deuterocanonical addition to the Book of Daniel, telling the story of a virtuous woman falsely accused of adultery and vindicated by the prophet Daniel.
  • C. Margaret
    Margaret is a feminine given name of Greek origin, traditionally associated with the meaning "pearl" and widely used in English-speaking countries.
  • D. Elizabeth Eldridge
    Elizabeth Eldridge was the wife of Salem Village minister Samuel Parris, associated with the period of the Salem witch trials in late 17th-century Massachusetts.
  • E. Elizabeth Carver
    Elizabeth Carver was the wife of British Field Marshal Bernard Montgomery, 1st Viscount Montgomery of Alamein.
  • 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_69a3d7e0801c8190aa1f1c5f8d5bc3cb completed March 1, 2026, 6:08 a.m.
Created at: Feb. 28, 2026, 2:51 a.m.