Triple
T519459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacob |
E10780
|
entity |
| Predicate | mother |
P120
|
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: [Jacob, mother, Rebekah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rebekah Context triple: [Jacob, mother, 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.
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.
Zilpah
Zilpah is a biblical figure who served as Leah’s maidservant and bore two of Jacob’s sons, Gad and Asher.
-
D.
Miryam
Miryam is the Hebrew form of the name of the Virgin Mary, the mother of Jesus in Christian tradition.
-
E.
Bilhah
Bilhah is a biblical figure who served as Rachel’s maidservant and bore two of Jacob’s sons, Dan and Naphtali.
- 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_69a2e84a0d08819087e01863fcd9abf1 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1a00a6c8190a62dc7c901c2f2ff |
completed | Feb. 28, 2026, 1:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4b23dca0c8190b240bb7c9fb8b799 |
completed | March 1, 2026, 9:40 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.