Triple
T8877100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Víctor |
E211313
|
entity |
| Predicate | cognateOf |
P8954
|
FINISHED |
| Object | Victor (French given name) |
E764112
|
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: Victor (French given name) | Statement: [Víctor, cognateOf, Victor (French given name)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Victor (French given name) Context triple: [Víctor, cognateOf, Victor (French given name)]
-
A.
Victor (English given name)
chosen
Victor is a masculine English given name of Latin origin meaning "conqueror" or "winner," historically borne by saints, popes, and notable figures.
-
B.
Viktorovich
Viktorovich is a Russian patronymic given name indicating that a person is the son of someone named Viktor.
-
C.
Victor IV
Victor IV was a 12th-century antipope who opposed the legitimate papacy with the backing of Holy Roman Emperor Frederick I Barbarossa.
-
D.
Viktor
Viktor is the given name of Viktor Frankl, the Austrian neurologist, psychiatrist, and Holocaust survivor who founded logotherapy and wrote "Man’s Search for Meaning."
-
E.
Viktor
Viktor is a powerful and ancient vampire elder from the "Underworld" film series, portrayed by actor Bill Nighy.
- 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_69ca838e78748190934d82db3104f855 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61472cc081909e51b4a35a20ef43 |
completed | April 1, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba149400819096cb93fdda440dcd |
completed | April 3, 2026, 1:01 p.m. |
Created at: March 30, 2026, 6:52 p.m.