Triple
T16432702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Genesis 27 |
E399107
|
entity |
| Predicate | mainCharacter |
P1183
|
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: [Genesis 27, mainCharacter, Rebekah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rebekah Context triple: [Genesis 27, mainCharacter, 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32b9f2e8c81909c60b8fb78255e5f |
completed | April 18, 2026, 6:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004584fa508190a85b1f79ecf9c258 |
completed | May 10, 2026, 8:44 a.m. |
Created at: April 10, 2026, 5:10 a.m.