Triple
T15204933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freddy Rodríguez |
E363364
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Rodríguez |
E73346
|
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: Rodríguez | Statement: [Freddy Rodríguez, familyName, Rodríguez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rodríguez Context triple: [Freddy Rodríguez, familyName, Rodríguez]
-
A.
Rodriguez
chosen
Rodriguez is a common Spanish-origin surname widely borne across the Spanish-speaking world and beyond.
-
B.
José Rodriguez
José Rodriguez is a supporting character in the Fifty Shades series, portrayed as Anastasia Steele’s friend and would-be suitor whose presence creates tension with Christian Grey.
-
C.
Álvarez
Álvarez is a common Spanish surname borne by numerous notable individuals across the Spanish-speaking world.
-
D.
Ruiz
Ruiz is a common Spanish-language surname borne by many notable individuals across sports, arts, and public life.
-
E.
Ceballos
Ceballos is a Spanish surname borne by various notable figures in politics, sports, and the arts.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b7964c8190bc8dc3444b94f15e |
completed | April 15, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed33b911c8190815341a342a8d3c8 |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 10, 2026, 3:11 a.m.