Triple
T21762340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudolph Snellius |
E537192
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Rudolph |
—
|
NE NERFINISHED |
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: Rudolph | Statement: [Rudolph Snellius, givenName, Rudolph]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rudolph Context triple: [Rudolph Snellius, givenName, Rudolph]
-
A.
Rudolph
Rudolph is a surname of German origin borne by various notable individuals and families.
-
B.
Rudolph
Rudolph was an Austrian archduke of the Habsburg dynasty, best known as a patron of the arts and a close friend and student of composer Ludwig van Beethoven.
-
C.
Rudolph
Rudolph is the full given name of Rudy Giuliani, the former mayor of New York City and prominent American political figure.
-
D.
Rudolph
Rudolph is the legendary red-nosed reindeer from Christmas folklore who guides Santa Claus’s sleigh through the night.
-
E.
Rudolph
chosen
Rudolph is a masculine given name of German origin, historically borne by various notable figures including nobles, artists, and entertainers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01d9369f88190b4be11b82fe75a17 |
completed | April 28, 2026, 2:38 a.m. |
Created at: April 16, 2026, 6:51 p.m.