Triple

T5341675
Position Surface form Disambiguated ID Type / Status
Subject Rebecca E123957 entity
Predicate hasVariant P455 FINISHED
Object Rebekah E22996 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: Rebekah | Statement: [Rebecca, hasVariant, Rebekah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rebekah
Context triple: [Rebecca, hasVariant, Rebekah]
  • A. Rebekah chosen
    Rebekah is a feminine given name, traditionally associated with the biblical matriarch Rebecca and used in various English-speaking cultures.
  • B. Dinah
    Dinah is a biblical figure mentioned in the Book of Genesis as the daughter of Jacob and Leah.
  • C. Peninnah
    Peninnah is a biblical figure, one of Elkanah’s wives, known for provoking and taunting Hannah over her childlessness in the First Book of Samuel.
  • D. Achsah Bond
    Achsah Bond was the wife of Shadrach Bond, the first governor of Illinois in the early 19th century.
  • E. 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.
  • 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_69bd464b07f8819095aa76577c9829e4 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85cb250c81908a48e4e2bbebbdb9 completed March 20, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18c8db388190a31f55854e7370fc completed March 21, 2026, 10:16 p.m.
Created at: March 20, 2026, 2 p.m.