Triple
T19576381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | François-Xavier Roth |
E489866
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | François-Xavier |
—
|
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: François-Xavier | Statement: [François-Xavier Roth, givenName, François-Xavier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: François-Xavier Context triple: [François-Xavier Roth, givenName, François-Xavier]
-
A.
François-Xavier
chosen
François-Xavier is a French masculine given name commonly used in Francophone countries and regions.
-
B.
Abbé Chaperon
Abbé Chaperon is a fictional provincial priest who appears as a notable character in Honoré de Balzac’s novel sequence "Scènes de la vie de province" within La Comédie humaine.
-
C.
Abbé Jouve
Abbé Jouve is a fictional Catholic priest who appears as a character in Émile Zola’s novel "Une Page d’amour."
-
D.
Louis Philippe Massillon
Louis Philippe Massillon was a notable figure after whom the city of Massillon, Ohio, was named, likely recognized for his influence or prominence during the period of the city's founding.
-
E.
Yves-François
Yves-François is a Canadian politician best known as the leader of the Bloc Québécois.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e64024c5b08190bbff6df633857874 |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:42 p.m.