Triple
T1167736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julian |
E24836
|
entity |
| Predicate | spellingVariant |
P457
|
FINISHED |
| Object | Julien |
E183782
|
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: Julien | Statement: [Julian, spellingVariant, Julien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julien Context triple: [Julian, spellingVariant, Julien]
-
A.
Julien
chosen
Julien is a given name of French origin commonly used for males in various Francophone and European countries.
-
B.
Jules
Jules is a given name most famously associated with French poet Jules Laforgue, a key figure in Symbolist and early modernist literature.
-
C.
Donatien
Donatien is the given name of Jean-Baptiste Donatien de Vimeur, comte de Rochambeau, a prominent French general who played a key role in the American Revolutionary War.
-
D.
René
René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
-
E.
Eugène
Eugène is a masculine given name of French origin, derived from the Greek "Eugenios," meaning "well-born" or "noble."
- 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_69a494082a7c819095004f423f294a64 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bccef84481908864e819884af86c |
completed | March 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad67f0651881909314e8761a7a7a5b |
completed | March 8, 2026, 12:13 p.m. |
Created at: March 1, 2026, 7:45 p.m.