Triple
T7780203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gauthier |
E221494
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Gauther |
E221494
|
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: Gauther | Statement: [Gauthier, hasVariant, Gauther]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gauther Context triple: [Gauthier, hasVariant, Gauther]
-
A.
Gauthier
chosen
Gauthier is a French given name and surname, equivalent to the English name Walter and historically borne by various notable figures in France and other Francophone regions.
-
B.
Ganthier
Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
-
C.
Gilles
Gilles is a masculine given name of French origin, commonly used as a variant of the name Gil or Giles.
-
D.
Gérson
Gérson is a legendary Brazilian midfielder renowned for orchestrating play in Brazil’s iconic 1970 FIFA World Cup–winning team.
-
E.
Gervais
Gervais is the surname of British comedian, actor, writer, and director Ricky Gervais, best known for co-creating and starring in the original UK version of "The Office."
- 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_69ca83ebbef881909ac47f789145fef7 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69caa4d6cf9881909f5220437db13cc7 |
completed | March 30, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69caf5af0a6c819091f43ac7eda2065e |
completed | March 30, 2026, 10:14 p.m. |
Created at: March 30, 2026, 4:20 p.m.