Triple

T1614233
Position Surface form Disambiguated ID Type / Status
Subject Sarah E34678 entity
Predicate originalName P65 FINISHED
Object Sarai E171829 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: Sarai | Statement: [Sarah, originalName, Sarai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarai
Context triple: [Sarah, originalName, Sarai]
  • A. Sarai chosen
    Sarai is the original name of the biblical matriarch later known as Sarah, wife of Abraham in the Hebrew Bible.
  • B. Hagar
    Hagar is a biblical figure known as the Egyptian servant of Sarah who bore Abraham’s son Ishmael and is revered in Jewish, Christian, and Islamic traditions.
  • C. Shelomith
    Shelomith is a lesser-known biblical figure mentioned in the Hebrew Bible as a member of King Rehoboam’s family lineage.
  • D. 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.
  • E. Rebekah
    Rebekah is a feminine given name, traditionally associated with the biblical matriarch Rebecca and used in various English-speaking cultures.
  • 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_69a885ffc5ec819091afa325d5f9611c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9098f384c81909ef836ee779466e2 completed March 5, 2026, 4:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad51ca2bc48190abb83f4d84782334 completed March 8, 2026, 10:39 a.m.
Created at: March 4, 2026, 7:28 p.m.