Triple
T6450476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis Joseph, Dauphin of France |
E139850
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Xavier |
E186800
|
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: Xavier | Statement: [Louis Joseph, Dauphin of France, givenName, Xavier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xavier Context triple: [Louis Joseph, Dauphin of France, givenName, Xavier]
-
A.
Xavier
Xavier is the men's college basketball team representing Xavier University in NCAA Division I competition.
-
B.
Xavier
chosen
Xavier is the given name of Xavi Hernández, the renowned Spanish former footballer and current manager best known for his legendary midfield role at FC Barcelona and with Spain’s national team.
-
C.
Blaise
Blaise is a given name most famously borne by the French mathematician, physicist, and philosopher Blaise Pascal.
-
D.
Blaise
The Blaise is a small river in northern France that flows through the Eure department as one of its tributaries.
-
E.
Blaise
Blaise is a river in northeastern France that flows through the Haute-Marne department.
- 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_69c008b301948190a35854e5284dc822 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069b2c7bc81908c683ec22cad9628 |
completed | March 22, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64bd290c481909f543cc03eee98bf |
completed | March 27, 2026, 9:20 a.m. |
Created at: March 22, 2026, 4:47 p.m.