Triple

T182665
Position Surface form Disambiguated ID Type / Status
Subject Rebecca E3910 entity
Predicate hasVariant P455 FINISHED
Object Rebekah
Rebekah is a feminine given name, traditionally associated with the biblical matriarch Rebecca and used in various English-speaking cultures.
 E22996 NE FINISHED

How this triple was built (4 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. Miryam
    Miryam is the Hebrew form of the name of the Virgin Mary, the mother of Jesus in Christian tradition.
  • B. Ruth
    Ruth is a book of the Hebrew Bible/Old Testament that tells the story of a Moabite woman whose loyalty and faith lead to her becoming an ancestor of King David.
  • C. Ruth
    Ruth is the given name of Ruth Bader Ginsburg, the pioneering U.S. Supreme Court Justice and prominent advocate for gender equality and civil rights.
  • D. Ahinoam of Jezreel
    Ahinoam of Jezreel was one of King David’s wives in the Hebrew Bible and the mother of his son Amnon.
  • E. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rebekah
Triple: [Rebecca, hasVariant, Rebekah]
Generated description
Rebekah is a feminine given name, traditionally associated with the biblical matriarch Rebecca and used in various English-speaking cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rebekah
Target entity description: Rebekah is a feminine given name, traditionally associated with the biblical matriarch Rebecca and used in various English-speaking cultures.
  • A. Miryam
    Miryam is the Hebrew form of the name of the Virgin Mary, the mother of Jesus in Christian tradition.
  • B. Ruth
    Ruth is a book of the Hebrew Bible/Old Testament that tells the story of a Moabite woman whose loyalty and faith lead to her becoming an ancestor of King David.
  • C. Ruth
    Ruth is the given name of Ruth Bader Ginsburg, the pioneering U.S. Supreme Court Justice and prominent advocate for gender equality and civil rights.
  • D. Ahinoam of Jezreel
    Ahinoam of Jezreel was one of King David’s wives in the Hebrew Bible and the mother of his son Amnon.
  • E. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • F. None of above. chosen

Provenance (5 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_69a25497e2f08190a040f8c6e1842643 completed Feb. 28, 2026, 2:36 a.m.
NER Named-entity recognition batch_69a2592516748190a85ae58eec191f14 completed Feb. 28, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2fa7e41c88190bf15f5223d215ab8 completed Feb. 28, 2026, 2:23 p.m.
NEDg Description generation batch_69a2fb08e6bc81908d6067dcc9c9ffc9 completed Feb. 28, 2026, 2:26 p.m.
NED2 Entity disambiguation (via description) batch_69a2fb66d9188190b8de873fdb523f8f completed Feb. 28, 2026, 2:27 p.m.
Created at: Feb. 28, 2026, 2:40 a.m.