Triple
T8853352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valentin |
E210690
|
entity |
| Predicate | orthographicVariant |
P33995
|
FINISHED |
| Object | Valentim |
E492442
|
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: Valentim | Statement: [Valentin, orthographicVariant, Valentim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valentim Context triple: [Valentin, orthographicVariant, Valentim]
-
A.
Valentim
chosen
Valentim is a given name, primarily used in Portuguese-speaking countries, that corresponds to the variant of the name Valentine.
-
B.
Silvano
Silvano is an Italian given name, related to Silvio, traditionally associated with the Latin name Silvanus meaning "of the forest" or "woodland."
-
C.
Venustiano
Venustiano is the given name of Venustiano Carranza, a key leader of the Mexican Revolution and former president of Mexico.
-
D.
Timoteo
Timoteo is a masculine given name, commonly used in Romance-language countries, derived from the biblical name Timothy.
-
E.
Valeriano
Valeriano is a masculine given name of Latin origin, historically borne by several notable figures including Spanish military and political leaders.
- 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_69ca838a424c8190b1ecac115c2927e7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60c55e348190957b3bbb7397e380 |
completed | April 1, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfab8911c8819083f5caa318071720 |
completed | April 3, 2026, 11:59 a.m. |
Created at: March 30, 2026, 6:49 p.m.