Triple
T12239526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Víctor Chávez |
E291690
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Víctor |
E211313
|
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: Víctor | Statement: [Víctor Chávez, hasGivenName, Víctor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Víctor Context triple: [Víctor Chávez, hasGivenName, Víctor]
-
A.
Víctor
chosen
Víctor is a given name commonly used in Spanish-speaking countries, derived from the Latin name Victor meaning "winner" or "conqueror."
-
B.
Eduardo
Eduardo is a masculine given name commonly used in Spanish and Portuguese-speaking countries, equivalent to the English name Edward.
-
C.
Vicente
Vicente is a given name, common in Spanish- and Portuguese-speaking countries, that corresponds to the English name Vincent.
-
D.
Rodolfo
Rodolfo is the original Italian given name of Rudolph Valentino, the iconic silent film actor and sex symbol of the 1920s.
-
E.
Julián
Julián is a given name of Latin origin, commonly used in Spanish-speaking countries as a variant of Julian.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cb45340819093365f8efdf85f75 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60ab3ae2481908f65d8ac61a6b2e4 |
completed | May 2, 2026, 2:31 p.m. |
Created at: April 8, 2026, 9:51 p.m.