Triple

T4495548
Position Surface form Disambiguated ID Type / Status
Subject Aaron E100685 entity
Predicate spouseOf P13 FINISHED
Object Elisheba E354328 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: Elisheba | Statement: [Aaron, spouseOf, Elisheba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elisheba
Context triple: [Aaron, spouseOf, Elisheba]
  • A. Elisheba chosen
    Elisheba is a Hebrew given name of biblical origin, traditionally understood to mean “God is my oath” or “God is satisfaction.”
  • B. Shelomith
    Shelomith is a lesser-known biblical figure mentioned in the Hebrew Bible as a member of King Rehoboam’s family lineage.
  • C. Keturah
    Keturah is a woman in the Hebrew Bible known as a later wife or concubine of Abraham, through whom several Arabian tribes are traditionally traced.
  • D. Naamah the Ammonite
    Naamah the Ammonite is a biblical figure known as the Ammonite wife of King Solomon and the mother of King Rehoboam of Judah.
  • E. Miriam
    Miriam is a central fictional character in Nathaniel Hawthorne’s novel "The Marble Faun," portrayed as a mysterious and artistically gifted woman with a troubled past.
  • 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_69bd43cdf15081909a4fa2585ff63b3e completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd56bde14c819091d42839a46291d0 completed March 20, 2026, 2:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd6f8190e88190aec651ac9fe9ef92 completed March 20, 2026, 4:02 p.m.
Created at: March 20, 2026, 1 p.m.