Triple
T2093214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Rupert of the Rhine |
E32719
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Rupert |
E74177
|
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: Rupert | Statement: [Prince Rupert of the Rhine, givenName, Rupert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rupert Context triple: [Prince Rupert of the Rhine, givenName, Rupert]
-
A.
Rupert
chosen
Rupert is a masculine given name of Germanic origin, commonly used in English-speaking countries and borne by various notable figures.
-
B.
Reginald
Reginald is a masculine given name of English origin that has been borne by various notable figures, including military officers, politicians, and artists.
-
C.
Rupert Psmith
Rupert Psmith is a witty, impeccably dressed, and verbally flamboyant young Englishman who stars in several humorous P. G. Wodehouse stories.
-
D.
Rolph
Rolph is a surname most notably associated with James Rolph, a prominent early 20th-century American politician and former mayor of San Francisco and governor of California.
-
E.
Griffin
Griffin is a city in Spalding County, Georgia, known as part of the Atlanta metropolitan area and for its historic downtown and role as a regional commercial center.
- 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_69a885eba0708190999696a45cbec816 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abba774ca881909f83cf65ffeb24bb |
completed | March 7, 2026, 5:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae2748f09c81908d471b02a185ec1e |
completed | March 9, 2026, 1:50 a.m. |
Created at: March 4, 2026, 7:43 p.m.