Triple
T907646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Immanuel |
E19584
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Imanuel |
E19584
|
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: Imanuel | Statement: [Immanuel, hasVariant, Imanuel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Imanuel Context triple: [Immanuel, hasVariant, Imanuel]
-
A.
Immanuel
chosen
Immanuel is the given name of the influential German philosopher Immanuel Kant, a central figure in modern Western philosophy.
-
B.
Emmanuel
Emmanuel is a Belgian prince, a member of the royal family of Belgium and the son of King Philippe and Queen Mathilde.
-
C.
Emanuel
Emanuel is a surname most prominently associated with Rahm Emanuel, the American politician and former mayor of Chicago.
-
D.
Akiva
Akiva is a masculine given name of Hebrew origin, meaning "protect" or "shelter," and is notably borne by figures such as the ancient Jewish sage Rabbi Akiva and screenwriter-producer Akiva Goldsman.
-
E.
Johannes
Johannes is the given first name of Paul Kruger, the prominent 19th-century Boer leader and president of the South African Republic.
- 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2cdc1788190a704809404f49986 |
completed | March 1, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac93a1fc5c819089ab10a6f0ed062b |
completed | March 7, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.