Triple
T7004892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfonso |
E162427
|
entity |
| Predicate | hasCognate |
P2525
|
FINISHED |
| Object | Alfonsus |
E405637
|
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: Alfonsus | Statement: [Alfonso, hasCognate, Alfonsus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alfonsus Context triple: [Alfonso, hasCognate, Alfonsus]
-
A.
Alfons
chosen
Alfons is the given name of Alphonse Mucha, the renowned Czech Art Nouveau painter and decorative artist.
-
B.
Tebald
Tebald is a masculine given name of medieval European origin, from which the modern short form "Tibbets" is derived.
-
C.
Raimondo
Raimondo is the given name of Giulio Raimondo Mazzarino, better known as Cardinal Mazarin, the 17th-century Italian-born chief minister of France.
-
D.
Ilario
Ilario is a given name, primarily used in Italian and Spanish contexts, that derives from the Latin name Hilaris meaning "cheerful" or "joyful."
-
E.
Aloysius
Aloysius is a masculine given name of Latinized form, historically borne by several saints and used in various European languages.
- 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_69c6885928148190ae31909fbb5e9849 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc14037c81908bb87250ef29be50 |
completed | March 27, 2026, 7:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79436bb708190a67038a717dfa842 |
completed | March 28, 2026, 8:41 a.m. |
Created at: March 27, 2026, 2:33 p.m.