Triple
T898316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Book of Numbers |
E19391
|
entity |
| Predicate | includesCharacter |
P5716
|
FINISHED |
| Object | Caleb |
E63556
|
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: Caleb | Statement: [Book of Numbers, includesCharacter, Caleb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caleb Context triple: [Book of Numbers, includesCharacter, Caleb]
-
A.
Caleb
chosen
Caleb is a male given name of Hebrew origin meaning "devotion" or "whole-hearted," commonly used in English-speaking countries.
-
B.
Caleb Lyon
Caleb Lyon was a 19th-century American politician and designer best known for creating the Great Seal of the State of California.
-
C.
Caleb Hopkins
Caleb Hopkins was a member of the prominent Hopkins family of colonial New England, known primarily through his relationship to early American politician Stephen Hopkins.
-
D.
Gavin
Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
-
E.
Jared
Jared is the given name of Jared Diamond, an American geographer, historian, and author best known for his Pulitzer Prize–winning book "Guns, Germs, and Steel."
- 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_69a4939d37188190848be3d426ebc9ae |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2b9339081909af5ab231be39bb0 |
completed | March 1, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7cf5a4118819086035d6e250a53cc |
completed | March 4, 2026, 6:21 a.m. |
Created at: March 1, 2026, 7:39 p.m.