Triple
T15857028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Noguès |
E384485
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Noguès |
E728300
|
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: Noguès | Statement: [Charles Noguès, familyName, Noguès]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noguès Context triple: [Charles Noguès, familyName, Noguès]
-
A.
Noguès
chosen
Noguès is a French surname borne by various notable individuals, including figures in politics, arts, and sports.
-
B.
Noguera Pallaresa
Noguera Pallaresa is a river in the Catalan Pyrenees of northeastern Spain, renowned for its whitewater rafting and kayaking.
-
C.
Vicenç
Vicenç is a Catalan given name commonly used in Catalonia and other Catalan-speaking regions, equivalent to the English name Vincent.
-
D.
Puig
Puig is a Spanish surname most notably associated with Argentine novelist and screenwriter Manuel Puig, known for works like "Kiss of the Spider Woman."
-
E.
Rubió
Rubió is a small municipality located in the Anoia comarca of Catalonia, Spain.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1555808688190882b610109d1e5f4 |
completed | April 16, 2026, 9:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa14c1e508190a182db216cc4e326 |
completed | May 9, 2026, 9:04 p.m. |
Created at: April 10, 2026, 4:50 a.m.