Triple
T10147129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avenol |
E231731
|
entity |
| Predicate | notableBearer |
P458
|
FINISHED |
| Object | Joseph Avenol |
E45950
|
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: Joseph Avenol | Statement: [Avenol, notableBearer, Joseph Avenol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseph Avenol Context triple: [Avenol, notableBearer, Joseph Avenol]
-
A.
Joseph Avenol
chosen
Joseph Avenol was a French diplomat who served as the second Secretary-General of the League of Nations during the turbulent years leading up to World War II.
-
B.
Eugene Roche
Eugene Roche was an American character actor known for his prolific work in film and television, often playing affable or comedic supporting roles.
-
C.
Louis Cappel
Louis Cappel was a 17th-century French Protestant biblical scholar and Hebraist known for his critical work on the Hebrew text and the history of the biblical canon.
-
D.
Maurice Bernhardt
Maurice Bernhardt was the son of famed French actress Sarah Bernhardt and a French writer and playwright in his own right.
-
E.
Charles Sellon
Charles Sellon was an American character actor of the early 20th century, known for his supporting roles in numerous stage and Hollywood films.
- 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_69ca848364f881908a24366a6feec1db |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec011c24819089b456fc8b9ed80c |
completed | April 2, 2026, 4:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d65296ee98819096de701e3b945001 |
completed | April 8, 2026, 1:05 p.m. |
Created at: March 30, 2026, 9:07 p.m.