Triple
T10251014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francis |
E240339
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | François |
E824856
|
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: François | Statement: [Francis, hasVariant, François]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: François Context triple: [Francis, hasVariant, François]
-
A.
François
chosen
François is a central character in Claude Chabrol’s 1958 French New Wave film "Le Beau Serge," whose troubled life and relationships drive much of the drama.
-
B.
François
François is the given name of the French poet and essayist Sully Prudhomme, the first recipient of the Nobel Prize in Literature.
-
C.
Charles de France
Charles de France, better known as Charles, Duke of Berry, was a French prince of the Bourbon dynasty and younger son of King Charles X of France.
-
D.
Édouard
Édouard is the French form of the given name Edward, commonly used in French-speaking countries.
-
E.
Louis V of France
Louis V of France was the last Carolingian king of West Francia, whose death without an heir paved the way for Hugh Capet and the rise of the Capetian dynasty.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d23d7300819095971560759cf456 |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7bf00c881909c1e494a9460c3ce |
completed | April 9, 2026, 12:50 a.m. |
Created at: April 6, 2026, 11:28 a.m.