Triple
T1950699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aaronic priesthood |
E42149
|
entity |
| Predicate | mentionedIn |
P831
|
FINISHED |
| Object | Numbers 18 |
E19391
|
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: Numbers 18 | Statement: [Aaronic priesthood, mentionedIn, Numbers 18]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Numbers 18 Context triple: [Aaronic priesthood, mentionedIn, Numbers 18]
-
A.
Numbers
Numbers is Apple's spreadsheet application for macOS and iOS, used to create, analyze, and visualize data in tables and charts.
-
B.
Numbers
chosen
Numbers is the fourth book of the Hebrew Bible and the Christian Old Testament, recounting the Israelites’ wilderness wanderings and organizing laws and censuses.
-
C.
The Book of Numbers
The Book of Numbers is a popular mathematics book that explores the properties, patterns, and curiosities of numbers in an accessible and engaging way.
-
D.
Part One: Numbers
Part One: Numbers is the opening section of the mathematical book "On Numbers and Games," introducing the foundational concepts of numbers and their constructions.
-
E.
Numbers on the Boards
"Numbers on the Boards" is a minimalist, hard-hitting hip-hop track by Pusha T known for its stark production and boastful, technically sharp lyricism.
- 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_69a8870e08fc8190a319cbf2600db15f |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb332b014819085bfc88d66cfc10a |
completed | March 7, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfbc3cf6881909d42a04be18c3c73 |
completed | March 8, 2026, 10:44 p.m. |
Created at: March 4, 2026, 7:36 p.m.