Triple
T20197072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aymon, Bishop of Sion |
E493113
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Aymon |
—
|
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: Aymon | Statement: [Aymon, Bishop of Sion, givenName, Aymon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aymon Context triple: [Aymon, Bishop of Sion, givenName, Aymon]
-
A.
Aymon
chosen
Aymon is a masculine given name, commonly used as a variant transliteration or spelling of the Arabic name Ayman.
-
B.
Aymon
Aymon was a medieval nobleman who became Count of Savoy in the early 14th century, known for consolidating his family's power in the region.
-
C.
Raoul
Raoul is a violent, masked intruder and one of the primary antagonists in the thriller film "Panic Room."
-
D.
Raoul
Raoul is a masculine given name of French origin, notably borne by the Fauvist painter Raoul Dufy.
-
E.
Raoul d’Harcourt
Raoul d’Harcourt was a French nobleman and ecclesiastic of the influential Harcourt family, known for his role in founding the medieval Collège d’Harcourt in Paris.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad99d50819090ddb7b546c65321 |
completed | April 20, 2026, 6:05 p.m. |
Created at: April 11, 2026, 11:37 p.m.