Triple
T1686516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruprecht |
E36453
|
entity |
| Predicate | derivesFrom |
P909
|
FINISHED |
| Object | Hrodebert |
E142081
|
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: Hrodebert | Statement: [Ruprecht, derivesFrom, Hrodebert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hrodebert Context triple: [Ruprecht, derivesFrom, Hrodebert]
-
A.
Hrodebert
chosen
Hrodebert is an ancient Germanic given name meaning "fame-bright" or "bright glory," from which later names like Robert and Roberto are derived.
-
B.
Heribert
Heribert is the given name of Herbert von Karajan, the renowned 20th-century Austrian conductor.
-
C.
Henry of Almain
Henry of Almain was a 13th-century English nobleman and politician, the son of Richard, 1st Earl of Cornwall, who was murdered in Viterbo in 1271 amid the conflicts of the Second Barons' War.
-
D.
Arnulf, Prince of Bavaria
Arnulf, Prince of Bavaria was a 19th-century Bavarian royal prince and military officer from the House of Wittelsbach.
-
E.
Clovis
Clovis is a small city in eastern New Mexico known as a regional hub for agriculture, rail transport, and nearby Cannon Air Force Base.
- 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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa6293c368819094ab0f615e418647 |
completed | March 6, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad71c344fc8190926db828cf09550e |
completed | March 8, 2026, 12:55 p.m. |
Created at: March 4, 2026, 7:29 p.m.