Triple

T14629905
Position Surface form Disambiguated ID Type / Status
Subject Oholibamah daughter of Anah E343452 entity
Predicate relatedTo P37 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: [Oholibamah daughter of Anah, relatedTo, Rebekah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rebekah
Context triple: [Oholibamah daughter of Anah, relatedTo, 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 central young female character in A. A. Milne’s stage comedy "Mr. Pim Passes By," involved in the play’s romantic and familial misunderstandings.
  • C. Dinah
    Dinah is a biblical figure mentioned in the Book of Genesis as the daughter of Jacob and Leah.
  • D. Achsah
    Achsah is a biblical figure, the daughter of Caleb, known for boldly requesting and receiving additional land and water sources as her inheritance.
  • E. 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.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4a912248190a3df7f821395c776 completed April 14, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb7ab30c8190af49268b6f93aeb1 completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:26 a.m.