Triple
T16912446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fernando |
E410234
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Fernand |
E338517
|
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: Fernand | Statement: [Fernando, hasVariant, Fernand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fernand Context triple: [Fernando, hasVariant, Fernand]
-
A.
Fernand
chosen
Fernand is a given name, primarily used in French and other Romance-language contexts, that corresponds to the name Ferdinand.
-
B.
Henri Rouart
Henri Rouart was a French industrialist, art collector, and painter closely associated with the Impressionist movement and its circle of artists.
-
C.
Pierre
Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
-
D.
Pierre-Paul
Pierre-Paul is a French given name most notably borne by Pierre-Paul Riquet, the 17th-century engineer who designed and built the Canal du Midi.
-
E.
René
René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3ca3e6b9481909fbaeb0bddd7e3b2 |
completed | April 18, 2026, 6:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7bb4ac481909318d3d61a2d10e1 |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:30 a.m.