Triple
T3078186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shane Victorino |
E64190
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Victorino |
E163778
|
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: Victorino | Statement: [Shane Victorino, familyName, Victorino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Victorino Context triple: [Shane Victorino, familyName, Victorino]
-
A.
Victorino
chosen
Victorino is a masculine given name, primarily used in Spanish and Portuguese-speaking cultures, derived from the name Victor.
-
B.
Feliciano
Feliciano is a given name of Latin origin, commonly used in Romance-language countries and related to the name Felix.
-
C.
Bautista
Bautista is a Spanish-origin surname common in the Hispanic world and borne by numerous notable figures in sports, politics, and the arts.
-
D.
J. J. Soria
J. J. Soria is an American actor known for his work in television dramas and thrillers, including a prominent role in the TV adaptation of "The Purge."
-
E.
Álvaro
Álvaro is a masculine given name of Spanish origin commonly used in Spain and Latin America.
- 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_69ad857bb4c88190a4cf27893fcabed8 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada1a6f6148190ae5cd6e45eda9006 |
completed | March 8, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f88d32a08190b4e18da4b26b534c |
completed | March 11, 2026, 11:19 p.m. |
Created at: March 8, 2026, 3:02 p.m.