Triple
T5264140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dina |
E118897
|
entity |
| Predicate | variantOf |
P4680
|
FINISHED |
| Object | Dinah |
E225863
|
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: Dinah | Statement: [Dina, variantOf, Dinah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dinah Context triple: [Dina, variantOf, Dinah]
-
A.
Dinah
chosen
Dinah is a biblical figure mentioned in the Book of Genesis as the daughter of Jacob and Leah.
-
B.
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.
-
C.
Shelomith
Shelomith is a lesser-known biblical figure mentioned in the Hebrew Bible as a member of King Rehoboam’s family lineage.
-
D.
Deborah
Deborah is a prominent biblical prophetess and judge of Israel known for her leadership and role in delivering the Israelites from Canaanite oppression.
-
E.
Avigail
Avigail is a feminine given name, commonly used in Hebrew, that corresponds to the name Abigail.
- 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_69bd446a42c88190b7ecbef006561d55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7bd4a9888190a79ef8e64c764f86 |
completed | March 20, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69befe88ba588190b130f1857536816f |
completed | March 21, 2026, 8:24 p.m. |
Created at: March 20, 2026, 1:51 p.m.